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Biblioteca

MARC Lista (tabellare)
Closed Loop Control and Management : Introduction to Feedback Control Theory with Data Stream Managers / / Serge Zacher
Closed Loop Control and Management : Introduction to Feedback Control Theory with Data Stream Managers / / Serge Zacher
Autore Zacher Serge
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (396 pages)
Disciplina 629.8
Soggetto topico Automatic control
Automation
Control theory
Control automàtic
Teoria de control
Teoria de sistemes
Automatització
Soggetto genere / forma Llibres electrònics
ISBN 9783031134838
9783031134821
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Classic closed loop control from Heron till now:- Basics of the closed loop management -- Engineering of closed loops -- Mathematical Backgrounds.
Record Nr. UNISA-996511863203316
Zacher Serge  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Closed Loop Control and Management : Introduction to Feedback Control Theory with Data Stream Managers / / Serge Zacher
Closed Loop Control and Management : Introduction to Feedback Control Theory with Data Stream Managers / / Serge Zacher
Autore Zacher Serge
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (396 pages)
Disciplina 629.8
Soggetto topico Automatic control
Automation
Control theory
Control automàtic
Teoria de control
Teoria de sistemes
Automatització
Soggetto genere / forma Llibres electrònics
ISBN 9783031134838
9783031134821
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Classic closed loop control from Heron till now:- Basics of the closed loop management -- Engineering of closed loops -- Mathematical Backgrounds.
Record Nr. UNINA-9910659492603321
Zacher Serge  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Elements and Relations : Aspects of a Scientific Metaphysics / / by Martin Zwick
Elements and Relations : Aspects of a Scientific Metaphysics / / by Martin Zwick
Autore Zwick Martin
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (711 pages)
Disciplina 003
Collana IFSR International Series in Systems Science and Systems Engineering
Soggetto topico System theory
Mathematics
Mathematics—Philosophy
Dynamics
Nonlinear theories
Complex Systems
Applications of Mathematics
Philosophy of Mathematics
Applied Dynamical Systems
Teoria de sistemes
Filosofia de la ciència
Soggetto genere / forma Llibres electrònics
ISBN 3-030-99403-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto To the Reader -- I. Essay: An Ontology of Problems -- II Commentary: The Recovery of Coherence -- III Notes: Systems Theory -- Appendices.
Record Nr. UNINA-9910734888303321
Zwick Martin  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Event-triggered active disturbance rejection control : theory and applications / / Dawei Shi [et al.]
Event-triggered active disturbance rejection control : theory and applications / / Dawei Shi [et al.]
Autore Shi Dawei
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (xv, 228 pages) : illustrations (some color)
Disciplina 629.8
Altri autori (Persone) HuangYuan
WangJunzheng
ShiLing
Collana Studies in systems, decision and control
Soggetto topico Automatic control
Mechatronics
Robotics
System theory
Control automàtic
Robòtica
Mecatrònica
Teoria de sistemes
Soggetto genere / forma Llibres electrònics
ISBN 981-16-0293-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Event-Based Sampled-Data Control -- 1.1.1 Sampled-Data Systems -- 1.1.2 Event-Based Sampling and Control -- 1.2 Active Disturbance Rejection Control -- 1.2.1 Functions fhan and fal -- 1.2.2 Tracking Differentiator -- 1.2.3 Extended State Observer -- 1.2.4 Nonlinear Feedback -- 1.3 Related Literature -- 1.3.1 Event-Based Sampled-Data Control -- 1.3.2 Active Disturbance Rejection Control -- 1.3.3 Event-Based Active Disturbance Rejection Control -- 1.4 Organization of the Book -- References -- Part I Theoretic Developments -- 2 Performance Assessment of Discrete-Time Extended State Observers -- 2.1 Problem Formulation -- 2.1.1 Discrete-Time Nonlinear System -- 2.1.2 Discrete-Time Extended State Observer -- 2.1.3 Description of the Problem -- 2.2 Observation Performance Analysis of Discrete-Time Extended State Observer -- 2.2.1 Gain Parameters Design Based on Spectral Radius Method -- 2.2.2 Observation Performance Analysis Through Ellipsoidal Set Approach -- 2.2.3 Extensions and Special Cases -- 2.3 Numerical Example -- 2.4 Experimental Results -- 2.5 Summary -- References -- 3 Event-Triggered Extended State Observer -- 3.1 Problem Formulation -- 3.1.1 Continuous-Time Nonlinear System -- 3.1.2 Event-Triggered Extended State Observer -- 3.1.3 ET-ESO Design Problem -- 3.2 Main Theoretic Results -- 3.2.1 Event-Triggering Condition Design -- 3.2.2 Non-existence of Zeno Phenomenon -- 3.2.3 Convergence Analysis of Event-Triggered Extended State Observer -- 3.2.4 Other Extensions -- 3.2.5 Event-Triggered Extended State Observer with Designed Initial Value -- 3.3 Numerical Example -- 3.3.1 Observation Performance Verification for ET-ESO -- 3.4 Summary -- References -- 4 Event-Triggered Active Disturbance Rejection Control -- 4.1 Problem Description.
4.2 Event-Triggered Control Based on Continuous-Time Observations -- 4.3 Separate Event-Triggered Observation and Control -- 4.4 Experimental Results -- 4.5 Summary -- References -- 5 A High-Gain Approach to Event-Triggered Control -- 5.1 Problem Formulation -- 5.2 Theoretic Results -- 5.3 Discussions on Special Sampling Schemes -- 5.3.1 Case 1: Only Sampling Output -- 5.3.2 Case 2: Only Sampling Control Signal -- 5.4 Numerical Example -- 5.5 Experimental Performance Evaluation -- 5.6 Summary -- References -- Part II Applications -- 6 Event-Triggered Active Disturbance Rejection Control of DC Torque Motors -- 6.1 Background -- 6.2 Problem Description and System Dynamics -- 6.3 Event-Triggered ADRC Design -- 6.4 Experimental Performance Evaluation -- 6.4.1 Experimental Results with Squarewave-Type Input -- 6.4.2 Experimental Results with Multitone Sinusoid Input -- 6.5 Summary -- References -- 7 Event-Triggered ADRC for Electric Cylinders with PD-Type Event-Triggering Conditions -- 7.1 Background -- 7.2 Nonlinear Modeling and Problem Formulation -- 7.3 Event-Triggered ADRC of Electric Cylinders -- 7.4 Experiment Results -- 7.4.1 Squarewave-Type Reference -- 7.4.2 Multitone Sinusoid Reference -- 7.5 Discussion -- References -- 8 Event-Triggered Attitude Tracking for Rigid Spacecraft -- 8.1 Background -- 8.2 Problem Formulation -- 8.3 ET-ADRC Design -- 8.4 Numerical Evaluation -- 8.4.1 Desired Angular Velocity in Sinusoidal Form -- 8.4.2 Desired Angular Velocity in Square Wave Form -- 8.5 Summary -- References -- 9 Event-Triggered Adaptive Disturbance Rejection for Artificial Pancreas -- 9.1 Background -- 9.2 Related Literature -- 9.3 Controller Structure Design -- 9.3.1 Time-Optimal Control Synthesis Function -- 9.3.2 Tracking Differentiator -- 9.3.3 Extended State Observer -- 9.3.4 Nonlinear Feedback -- 9.3.5 Safety Constraints.
9.3.6 Pump-Discretization -- 9.4 Event-Triggered Parameter Adaptation for ADRC -- 9.4.1 Adaptation of ESO and IOB -- 9.4.2 Parameter Adaptation for Nonlinear Feedback -- 9.4.3 Parameter Design -- 9.5 In Silico Performance Analysis -- 9.5.1 Announced Meals with Nominal Basal Rate -- 9.5.2 Unannounced Meals with Nominal Basal Rate -- 9.5.3 Robust Performance Evaluation -- 9.6 Summary -- References -- 10 Summary and Future Work -- Correction to: Event-Triggered Active Disturbance Rejection Control -- Correction to: D. Shi et al., Event-Triggered Active Disturbance Rejection Control, Studies in Systems, Decision and Control 356, https://doi.org/10.1007/978-981-16-0293-1.
Record Nr. UNINA-9910483901603321
Shi Dawei  
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The magic ring : systems thinking approach to control systems / / Piero Mella
The magic ring : systems thinking approach to control systems / / Piero Mella
Autore Mella Piero
Edizione [2nd ed.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (875 pages) : illustrations
Disciplina 003.5
Collana Contemporary Systems Thinking
Soggetto topico Control theory
System theory
Teoria de control
Teoria de sistemes
Soggetto genere / forma Llibres electrònics
ISBN 3-030-64194-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface to the First Edition -- Preface to the Second Edition -- Contents -- List of Figures -- List of Tables -- Part I: Discovering the "Ring" -- Chapter 1: The Language of Systems Thinking for Control Systems -- 1.1 The Sixth Discipline: The Discipline of Control Systems -- 1.2 The Fifth Discipline: The Five Basic Rules of Systems Thinking -- 1.3 The Construction of Models Based on Systems Thinking: The Rings -- 1.4 From Systems Thinking to System Dynamics: A Simulation of a Dynamic System -- 1.5 Two Fundamental Laws of Systems Thinking -- 1.6 Systems Archetypes: Three Relevant Structures of Human Behavior-The Archetypes of the Three Myopias -- 1.7 Complementary Material -- 1.7.1 Reinforcing Loop: Arms Escalation -- 1.7.2 Reinforcing Loops: Virus Explosion -- 1.7.3 Multiple Loops: The Law of Accelerating Returns -- 1.7.4 The General Law of Dynamic Instability -- 1.7.5 The Law of Dynamic Instability: Richardson's Model -- 1.7.6 The Law of Dynamic Instability: Prey-Predator Populations -- 1.7.7 The Law of Dynamic Instability: Counteracting the Spread of a Virus -- 1.7.8 Senge's Archetypes List Expanded -- 1.7.9 The "Six" Disciplines of Learning Organizations -- 1.8 Summary -- Chapter 2: The Ring: The General Structure of Control Systems -- 2.1 The Control Process -- 2.2 The Logical Structure of Control Systems in the Language of Systems Thinking -- 2.3 The Ring in Action: The Heuristic Model of a Control System -- 2.4 Some Technical Notes -- 2.5 Continuous Single-Lever Control System Without Delays -- 2.6 Discrete Single-Lever Control System Without Delay -- 2.7 Control System with On-Off Lever -- 2.8 Continuous Single-Lever Control System with Delay -- 2.9 The Technical Structure of a Single-Lever Control System: The Chain of Control -- 2.10 Management and Governance of the Control System.
2.11 Design and Realization of the Control System -- 2.12 Delays and Disturbances in the Control: Variants of the Control Model -- 2.13 Strengthening and Precision of Control Systems -- 2.14 Connections and Interferences Among Single-Lever Control Systems -- 2.15 Areas of Application of the General Model -- 2.16 Complementary Material -- 2.16.1 Simulation Tools -- 2.16.2 Control of an Elevator -- 2.16.3 Searching for a Street, a Page, and a Word -- 2.16.4 The Trajectories of a Car and a Boat -- 2.16.5 Shower with Two Delays -- 2.16.6 Direct and Inverse Control -- 2.16.7 Simulation of an On-Off System: The Hot and Cold Air Conditioner -- 2.16.8 Simulation of Two Interfering Showers Using Powersim -- 2.16.9 Feedforward Control -- 2.16.10 The Engineering Definition of Control Systems -- 2.16.11 An Analytical Appendix: The Optimal Value of the Lever and the Optimal Control Period in Non-symmetrical Systems -- 2.17 Summary -- Chapter 3: The Ring Variety: A Basic Typology -- 3.1 Manual and Automatic Control Systems: Cybernetic Systems -- 3.2 Quantitative and Qualitative Control Systems: Attainment and Recognition Control Systems -- 3.3 Steering and Halt Control Systems -- 3.4 Fixed- and Variable-Objective Systems (or Systems of "Pursuit") -- 3.5 Collision, Anticollision, and Alignment Systems -- 3.6 Tendential and Combinatory Control Systems -- 3.7 Parallel or Serial Connections -- 3.8 Holarchies of Control Systems -- 3.9 Complementary Material -- 3.9.1 Some Well-Known Cybernetic Systems -- 3.9.2 Halt Control Systems -- 3.9.3 Biometric Systems of Recognition and Identification -- 3.9.4 Explorative Systems -- 3.9.5 Looking Up a Word in the Dictionary -- 3.9.6 Achilles and the Tortoise: Zeno's Paradox -- 3.9.7 Serial Systems: The Oven and the Boiler.
3.9.8 Qualitative Control Systems: Procedure to Determine the States of Variety of the Qualitative Variables -- 3.10 Summary -- Chapter 4: The Ring Completed: Multilever and Multiobjective Control Systems -- 4.1 Dual-Lever Control System with Mutually Dependent Levers -- 4.2 Dual-Lever Control System with Independent Levers: Control Strategy -- 4.3 Impulse Control Systems -- 4.4 Multilever Control Systems -- 4.5 Multilayer Control Systems -- 4.6 Multiobjective Control Systems and Control Policies -- 4.7 Optimal Strategies and Policies: Two General Preference Models -- 4.8 Complementary Material -- 4.8.1 Flying in a Hot Air Balloon -- 4.8.2 Submerging in a Submarine -- 4.8.3 A Multilever System: Mix of N Components -- 4.8.4 Control of a Mobile Platform -- 4.8.5 Industrial Robots and Movement Systems -- 4.8.6 Focusing -- 4.8.7 Demand, Supply, and Price: Dual-Objective Control System -- 4.8.8 Ordering of the Objectives to Define Control Policy: The Direct Comparison Procedure -- 4.8.9 The Standard Gamble Method -- 4.9 Summary -- Chapter 5: The Ring: Observation and Design -- 5.1 How to Recognize or Design the Logical Structure of a Control System -- 5.2 Symptomatic and Structural Control -- 5.3 Effectiveness and Efficiency of Control Systems -- 5.4 Strengtheners, Turbos, and Multilevers -- 5.5 Risk of Failure of the Control Process Due to Structural Causes -- 5.6 Risks of Failure of the Control Process Due to some Characteristics of the Variables to be Controlled -- 5.7 Risks of Failure of the Control Process Due to Improper Levers: "Shifting the Burden" archetype -- 5.8 Pathologies of Control: Discouragement, Insatiability, Persistence, and Underestimation -- 5.9 Problem Solving and Control Systems -- 5.10 Problem Solving and the Leverage Effect -- 5.11 The Principles of Systems Thinking Applied to Problem Solving -- 5.12 Complementary Material.
5.12.1 Multicriteria Decision-Making -- 5.13 Summary -- Part II: The Magic of the Ring -- Chapter 6: The Magic Ring in Action: Individuals -- 6.1 Magic Rings Operating on a Wonderful Day -- 6.2 Rings Operating in the Domestic Environment -- 6.3 Overhead Rings in the External Microenvironment -- 6.4 Rings Acting in the External Macro Environment -- 6.5 Planetary Rings: "Gaia" and Daisyworld -- 6.6 Control System for Global Warming: The Myopia Archetypes in Action -- 6.7 Rings Acting on Earthquakes and Tsunamis -- 6.8 Rings Acting on the Human Body -- 6.9 Control Systems for Survival as Psychophysical Entities -- 6.10 Rings That Regulate Biological Clocks -- 6.11 Complementary Material -- 6.11.1 The Water Cycle -- 6.11.2 Daisyworld Dynamics -- 6.12 Summary -- Chapter 7: The Magic Ring in Action: Social Environment and Sustainability -- 7.1 Social Environment -- 7.2 The Rings Regulating Social Systems: The Control of Coexistence -- 7.3 Rings That Maintain Autopoiesis in Social Systems -- 7.4 Rings That Regulate Some Fundamental Variables in Social Systems -- 7.5 Rings Within Collectivities as Combinatory Systems -- 7.6 The Control of Combinatory Systems -- 7.7 Sustainability of Social Behavior, Myopia Archetypes in Action, Population Growth, and Commons Depletion -- 7.8 Rings Operating in Social Systems as Complex Adaptive Systems (CAS) -- 7.9 Change Management in a Complex World: The PSC Model -- 7.10 Complementary Material -- 7.10.1 Models and Classes of Combinatory Systems -- 7.10.2 The Heuristic Models Revealing the Modus Operandi of Some Relevant Social Phenomena Following the Combinatory Systems Model -- 7.10.3 The Combinatory Automaton to Simulate the Buzzing in an Indoor Locale -- 7.10.4 Two Modern Tragedies of the Commons -- 7.10.5 The PSC Model Applied to Stereotypes and Gender Discrimination -- 7.11 Summary.
Chapter 8: The Magic Ring in Action: The Biological Environment -- 8.1 Magic Rings in the Macro Biological Environment -- 8.2 Magic Rings That Regulate the Dynamics of Populations -- 8.3 Dynamics of a Population Without Growth Limits -- 8.4 Dynamics of a Population with Limits to Its Available Resources: Malthusian Dynamics -- 8.5 Dynamics of Interacting Populations Forming a Trophic Food Chain: Volterra-Lotka Model -- 8.6 Natural Endogenous and Artificial External Controls of Two Interacting Populations -- 8.7 Magic Rings That Regulate the Dynamics of Three or More Populations Comprising an Ecosystem -- 8.8 Qualitative Dynamics of Populations-Evolution: The Framework -- 8.9 Magic Rings That Regulate the Qualitative Dynamics of Populations Over Time -- 8.10 Combinatory Systems as a Tool for Simulating the Dynamics Regarding the Spread of a Favorable Mutation -- 8.11 Qualitative Dynamics Interacting with Quantitative Dynamics -- 8.12 Evolution of Non-biological "Species" -- 8.13 Evolution in Networks of Organizations: Production Networks -- 8.14 The Rules of Selfish Behavior of Nodes (Modules) in Production Networks: Evolutionary Qualitative Dynamics of Nodes -- 8.15 The Laws of Production Networks -- 8.16 Complementary Material -- 8.16.1 The Nodes (Modules) Forming the Production Networks -- 8.16.2 The Genesis of Production Networks -- 8.16.3 The Evolution of Production Networks: The Ghost in the Production Machine -- 8.17 Summary -- Chapter 9: The Magic Ring in Action: Organizations -- 9.1 Rings That Allow Organizations to Exist as Autopoietic, Homeostatic, and Teleonomic Social Systems -- 9.2 Viable Systems View -- 9.3 Organizations as Efficient Systems of Transformation -- 9.4 From MOEST to Management Control and Performance Management -- 9.5 The Rings in Macro Management Control: The Objectives of the Strategic Rings: EVF and EVA.
9.6 The Objectives of the Operational Rings: Roe* and Roi*.
Record Nr. UNISA-996466558803316
Mella Piero  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The magic ring : systems thinking approach to control systems / / Piero Mella
The magic ring : systems thinking approach to control systems / / Piero Mella
Autore Mella Piero
Edizione [2nd ed.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (875 pages) : illustrations
Disciplina 003.5
Collana Contemporary Systems Thinking
Soggetto topico Control theory
System theory
Teoria de control
Teoria de sistemes
Soggetto genere / forma Llibres electrònics
ISBN 3-030-64194-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface to the First Edition -- Preface to the Second Edition -- Contents -- List of Figures -- List of Tables -- Part I: Discovering the "Ring" -- Chapter 1: The Language of Systems Thinking for Control Systems -- 1.1 The Sixth Discipline: The Discipline of Control Systems -- 1.2 The Fifth Discipline: The Five Basic Rules of Systems Thinking -- 1.3 The Construction of Models Based on Systems Thinking: The Rings -- 1.4 From Systems Thinking to System Dynamics: A Simulation of a Dynamic System -- 1.5 Two Fundamental Laws of Systems Thinking -- 1.6 Systems Archetypes: Three Relevant Structures of Human Behavior-The Archetypes of the Three Myopias -- 1.7 Complementary Material -- 1.7.1 Reinforcing Loop: Arms Escalation -- 1.7.2 Reinforcing Loops: Virus Explosion -- 1.7.3 Multiple Loops: The Law of Accelerating Returns -- 1.7.4 The General Law of Dynamic Instability -- 1.7.5 The Law of Dynamic Instability: Richardson's Model -- 1.7.6 The Law of Dynamic Instability: Prey-Predator Populations -- 1.7.7 The Law of Dynamic Instability: Counteracting the Spread of a Virus -- 1.7.8 Senge's Archetypes List Expanded -- 1.7.9 The "Six" Disciplines of Learning Organizations -- 1.8 Summary -- Chapter 2: The Ring: The General Structure of Control Systems -- 2.1 The Control Process -- 2.2 The Logical Structure of Control Systems in the Language of Systems Thinking -- 2.3 The Ring in Action: The Heuristic Model of a Control System -- 2.4 Some Technical Notes -- 2.5 Continuous Single-Lever Control System Without Delays -- 2.6 Discrete Single-Lever Control System Without Delay -- 2.7 Control System with On-Off Lever -- 2.8 Continuous Single-Lever Control System with Delay -- 2.9 The Technical Structure of a Single-Lever Control System: The Chain of Control -- 2.10 Management and Governance of the Control System.
2.11 Design and Realization of the Control System -- 2.12 Delays and Disturbances in the Control: Variants of the Control Model -- 2.13 Strengthening and Precision of Control Systems -- 2.14 Connections and Interferences Among Single-Lever Control Systems -- 2.15 Areas of Application of the General Model -- 2.16 Complementary Material -- 2.16.1 Simulation Tools -- 2.16.2 Control of an Elevator -- 2.16.3 Searching for a Street, a Page, and a Word -- 2.16.4 The Trajectories of a Car and a Boat -- 2.16.5 Shower with Two Delays -- 2.16.6 Direct and Inverse Control -- 2.16.7 Simulation of an On-Off System: The Hot and Cold Air Conditioner -- 2.16.8 Simulation of Two Interfering Showers Using Powersim -- 2.16.9 Feedforward Control -- 2.16.10 The Engineering Definition of Control Systems -- 2.16.11 An Analytical Appendix: The Optimal Value of the Lever and the Optimal Control Period in Non-symmetrical Systems -- 2.17 Summary -- Chapter 3: The Ring Variety: A Basic Typology -- 3.1 Manual and Automatic Control Systems: Cybernetic Systems -- 3.2 Quantitative and Qualitative Control Systems: Attainment and Recognition Control Systems -- 3.3 Steering and Halt Control Systems -- 3.4 Fixed- and Variable-Objective Systems (or Systems of "Pursuit") -- 3.5 Collision, Anticollision, and Alignment Systems -- 3.6 Tendential and Combinatory Control Systems -- 3.7 Parallel or Serial Connections -- 3.8 Holarchies of Control Systems -- 3.9 Complementary Material -- 3.9.1 Some Well-Known Cybernetic Systems -- 3.9.2 Halt Control Systems -- 3.9.3 Biometric Systems of Recognition and Identification -- 3.9.4 Explorative Systems -- 3.9.5 Looking Up a Word in the Dictionary -- 3.9.6 Achilles and the Tortoise: Zeno's Paradox -- 3.9.7 Serial Systems: The Oven and the Boiler.
3.9.8 Qualitative Control Systems: Procedure to Determine the States of Variety of the Qualitative Variables -- 3.10 Summary -- Chapter 4: The Ring Completed: Multilever and Multiobjective Control Systems -- 4.1 Dual-Lever Control System with Mutually Dependent Levers -- 4.2 Dual-Lever Control System with Independent Levers: Control Strategy -- 4.3 Impulse Control Systems -- 4.4 Multilever Control Systems -- 4.5 Multilayer Control Systems -- 4.6 Multiobjective Control Systems and Control Policies -- 4.7 Optimal Strategies and Policies: Two General Preference Models -- 4.8 Complementary Material -- 4.8.1 Flying in a Hot Air Balloon -- 4.8.2 Submerging in a Submarine -- 4.8.3 A Multilever System: Mix of N Components -- 4.8.4 Control of a Mobile Platform -- 4.8.5 Industrial Robots and Movement Systems -- 4.8.6 Focusing -- 4.8.7 Demand, Supply, and Price: Dual-Objective Control System -- 4.8.8 Ordering of the Objectives to Define Control Policy: The Direct Comparison Procedure -- 4.8.9 The Standard Gamble Method -- 4.9 Summary -- Chapter 5: The Ring: Observation and Design -- 5.1 How to Recognize or Design the Logical Structure of a Control System -- 5.2 Symptomatic and Structural Control -- 5.3 Effectiveness and Efficiency of Control Systems -- 5.4 Strengtheners, Turbos, and Multilevers -- 5.5 Risk of Failure of the Control Process Due to Structural Causes -- 5.6 Risks of Failure of the Control Process Due to some Characteristics of the Variables to be Controlled -- 5.7 Risks of Failure of the Control Process Due to Improper Levers: "Shifting the Burden" archetype -- 5.8 Pathologies of Control: Discouragement, Insatiability, Persistence, and Underestimation -- 5.9 Problem Solving and Control Systems -- 5.10 Problem Solving and the Leverage Effect -- 5.11 The Principles of Systems Thinking Applied to Problem Solving -- 5.12 Complementary Material.
5.12.1 Multicriteria Decision-Making -- 5.13 Summary -- Part II: The Magic of the Ring -- Chapter 6: The Magic Ring in Action: Individuals -- 6.1 Magic Rings Operating on a Wonderful Day -- 6.2 Rings Operating in the Domestic Environment -- 6.3 Overhead Rings in the External Microenvironment -- 6.4 Rings Acting in the External Macro Environment -- 6.5 Planetary Rings: "Gaia" and Daisyworld -- 6.6 Control System for Global Warming: The Myopia Archetypes in Action -- 6.7 Rings Acting on Earthquakes and Tsunamis -- 6.8 Rings Acting on the Human Body -- 6.9 Control Systems for Survival as Psychophysical Entities -- 6.10 Rings That Regulate Biological Clocks -- 6.11 Complementary Material -- 6.11.1 The Water Cycle -- 6.11.2 Daisyworld Dynamics -- 6.12 Summary -- Chapter 7: The Magic Ring in Action: Social Environment and Sustainability -- 7.1 Social Environment -- 7.2 The Rings Regulating Social Systems: The Control of Coexistence -- 7.3 Rings That Maintain Autopoiesis in Social Systems -- 7.4 Rings That Regulate Some Fundamental Variables in Social Systems -- 7.5 Rings Within Collectivities as Combinatory Systems -- 7.6 The Control of Combinatory Systems -- 7.7 Sustainability of Social Behavior, Myopia Archetypes in Action, Population Growth, and Commons Depletion -- 7.8 Rings Operating in Social Systems as Complex Adaptive Systems (CAS) -- 7.9 Change Management in a Complex World: The PSC Model -- 7.10 Complementary Material -- 7.10.1 Models and Classes of Combinatory Systems -- 7.10.2 The Heuristic Models Revealing the Modus Operandi of Some Relevant Social Phenomena Following the Combinatory Systems Model -- 7.10.3 The Combinatory Automaton to Simulate the Buzzing in an Indoor Locale -- 7.10.4 Two Modern Tragedies of the Commons -- 7.10.5 The PSC Model Applied to Stereotypes and Gender Discrimination -- 7.11 Summary.
Chapter 8: The Magic Ring in Action: The Biological Environment -- 8.1 Magic Rings in the Macro Biological Environment -- 8.2 Magic Rings That Regulate the Dynamics of Populations -- 8.3 Dynamics of a Population Without Growth Limits -- 8.4 Dynamics of a Population with Limits to Its Available Resources: Malthusian Dynamics -- 8.5 Dynamics of Interacting Populations Forming a Trophic Food Chain: Volterra-Lotka Model -- 8.6 Natural Endogenous and Artificial External Controls of Two Interacting Populations -- 8.7 Magic Rings That Regulate the Dynamics of Three or More Populations Comprising an Ecosystem -- 8.8 Qualitative Dynamics of Populations-Evolution: The Framework -- 8.9 Magic Rings That Regulate the Qualitative Dynamics of Populations Over Time -- 8.10 Combinatory Systems as a Tool for Simulating the Dynamics Regarding the Spread of a Favorable Mutation -- 8.11 Qualitative Dynamics Interacting with Quantitative Dynamics -- 8.12 Evolution of Non-biological "Species" -- 8.13 Evolution in Networks of Organizations: Production Networks -- 8.14 The Rules of Selfish Behavior of Nodes (Modules) in Production Networks: Evolutionary Qualitative Dynamics of Nodes -- 8.15 The Laws of Production Networks -- 8.16 Complementary Material -- 8.16.1 The Nodes (Modules) Forming the Production Networks -- 8.16.2 The Genesis of Production Networks -- 8.16.3 The Evolution of Production Networks: The Ghost in the Production Machine -- 8.17 Summary -- Chapter 9: The Magic Ring in Action: Organizations -- 9.1 Rings That Allow Organizations to Exist as Autopoietic, Homeostatic, and Teleonomic Social Systems -- 9.2 Viable Systems View -- 9.3 Organizations as Efficient Systems of Transformation -- 9.4 From MOEST to Management Control and Performance Management -- 9.5 The Rings in Macro Management Control: The Objectives of the Strategic Rings: EVF and EVA.
9.6 The Objectives of the Operational Rings: Roe* and Roi*.
Record Nr. UNINA-9910484368503321
Mella Piero  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Model reduction of complex dynamical systems / / Peter Benner [and five others]
Model reduction of complex dynamical systems / / Peter Benner [and five others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2021]
Descrizione fisica 1 online resource (416 pages)
Disciplina 309.173092
Collana International Series of Numerical Mathematics
Soggetto topico System theory - History
Dynamics - Statistical methods
Teoria de sistemes
Dinàmica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-72983-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- *-20pt Methods and Techniques of Model Order Reduction -- On Bilinear Time-Domain Identification and Reduction in the Loewner Framework -- 1 Introduction -- 1.1 Outline of the Paper -- 2 System Theory Preliminaries -- 2.1 Linear Systems -- 2.2 Nonlinear Systems -- 3 The Loewner Framework -- 3.1 The Loewner Matrix -- 3.2 Construction of Interpolants -- 4 The Special Case of Bilinear Systems -- 4.1 The Growing Exponential Approach -- 4.2 The Kernel Separation Method -- 4.3 Identification of the Matrix N -- 4.4 A Separation Strategy for the second Kernel -- 4.5 The Loewner-Volterra Algorithm for Time-Domain Bilinear Identification and Reduction -- 4.6 Computational Effort of the Proposed Method -- 5 Numerical Examples -- 6 Conclusion -- References -- Balanced Truncation for Parametric Linear Systems Using Interpolation of Gramians: A Comparison of Algebraic and Geometric Approaches -- 1 Introduction -- 2 Balanced Truncation for Parametric Linear Systems and Standard Interpolation -- 2.1 Balanced Truncation -- 2.2 Interpolation of Gramians for Parametric Model Order Reduction -- 2.3 Offline-Online Decomposition -- 3 Interpolation on the Manifold mathcalS+(k,n) -- 3.1 A Quotient Geometry of mathcalS+(k,n) -- 3.2 Curve and Surface Interpolation on Manifolds -- 4 Numerical Examples -- 4.1 A model for heat conduction in solid material -- 4.2 An Anemometer Model -- 5 Conclusion -- References -- Toward Fitting Structured Nonlinear Systems by Means of Dynamic Mode Decomposition -- 1 Introduction -- 2 Dynamic Mode Decomposition -- 2.1 Dynamic Mode Decomposition with Control (DMDc) -- 2.2 Input-Output Dynamic Mode Decomposition -- 3 The Proposed Extensions -- 3.1 Bilinear Systems -- 3.2 Quadratic-Bilinear Systems -- 4 Numerical Experiments -- 4.1 The Viscous Burgers' Equation -- 4.2 Coupled van der Pol Oscillators.
5 Conclusion -- 6 Appendix -- 6.1 Computation of the Reduced-Order Matrices for the Quadratic-Bilinear Case -- References -- Clustering-Based Model Order Reduction for Nonlinear Network Systems -- 1 Introduction -- 2 Preliminaries -- 2.1 Graph Theory -- 2.2 Graph Partitions -- 2.3 Linear Multi-agent Systems -- 2.4 Clustering-Based Model Order Reduction -- 2.5 Model Reduction for Non-asymptotically Stable Systems -- 3 Clustering for Linear Multi-agent Systems -- 4 Clustering for Nonlinear Multi-agent Systems -- 4.1 Nonlinear Multi-agent Systems -- 4.2 Clustering by Projection -- 5 Numerical Examples -- 5.1 Small Network Example -- 5.2 van der Pol Oscillators -- 6 Conclusions -- References -- Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain -- 1 Introduction -- 2 Interpolatory MOR -- 3 Greedy Method for Choosing Interpolation Points -- 4 Adaptive Training by Learning the Error Estimator in the Parameter Domain -- 4.1 Radial Basis Functions -- 4.2 Learning the Error Estimator over the Parameter Domain -- 4.3 Adaptive Choice of Interpolation Points with Surrogate Error Estimator -- 5 Numerical Examples -- 5.1 RLC Interconnect Circuit -- 5.2 Thermal Model -- 5.3 Dual-Mode Circular Waveguide Filter -- 6 Conclusion -- References -- A Link Between Gramian-Based Model Order Reduction and Moment Matching -- 1 Introduction -- 1.1 Balancing of LTI Systems -- 1.2 Rational Interpolation -- 1.3 Organization of Paper -- 2 Gramian Quadrature Algorithm -- 2.1 Approximating the Gramian via Runge-Kutta Methods -- 2.2 Computation of mathcalHj in Algorithm 1 -- 2.3 The Space Spanned by the Approximate Cholesky Factor Z -- 3 Approximate Balancing Transformation -- 4 Connection to Other Methods -- 4.1 Balanced POD -- 4.2 The ADI Iteration -- 5 Examples -- 6 Conclusion -- References.
Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms -- 1 Introduction -- 2 Empirical Gramians for Linear Systems -- 2.1 Empirical Controllability Gramian -- 2.2 Empirical Observability Gramian -- 2.3 Empirical Cross Gramian -- 2.4 Parametric Empirical Gramians -- 3 Empirical-Gramian-Based Model Reduction -- 3.1 Empirical Poor Man -- 3.2 Empirical Approximate Balancing -- 3.3 Empirical Dominant Subspaces -- 3.4 Empirical Balanced Truncation -- 3.5 Empirical Balanced Gains -- 4 Approximate Norms -- 4.1 Signal Norms -- 4.2 System Norms -- 4.3 Modified Induced Norms -- 4.4 Parametric Norms -- 5 MORscore -- 6 Benchmark Comparison -- 6.1 emgr - EMpirical GRamian Framework -- 6.2 Thermal Block Benchmark -- 6.3 Numerical Results -- 7 Conclusion -- References -- Optimization-Based Parametric Model Order Reduction for the Application to the Frequency-Domain Analysis of Complex Systems -- 1 Introduction -- 2 Basics of the Global Basis and Krylov Subspace Method -- 2.1 Krylov Subspaces -- 2.2 Affine Matrix Decomposition -- 3 OGPA: Optimization-based Greedy Parameter Sampling -- 3.1 Grid-Free Sampling -- 3.2 A-Posteriori Model Quality Evaluation -- 4 Numerical Examples -- 4.1 Cantilever Solid Beam -- 4.2 Rear Axle Carrier -- 5 Summary -- References -- On Extended Model Order Reduction for Linear Time Delay Systems -- 1 Introduction -- 2 Problem Statement -- 3 Observability and Controllability Inequalities -- 4 Model order reduction by truncation -- 5 Feasibility of the Matrix Inequalities -- 6 Example: Delay Neural Fields -- 7 Application to Parameterized Model Reduction -- 7.1 Example -- 8 Conclusions -- References -- *-20pt Applications of Model Order Reduction -- A Practical Method for the Reductionpg of Linear Thermo-Mechanical Dynamic Equations -- 1 Introduction -- 2 The Thermo-Mechanical Model -- 2.1 Structural Mechanics.
2.2 Heat Transfer -- 2.3 Coupling of Equations -- 3 Derivation of the Reduction Algorithm -- 3.1 Model Order Reduction -- 3.2 Extraction of the Coupling Matrix -- 3.3 Algorithm -- 4 Implementation and Results -- 4.1 Modeling -- 4.2 Results -- 5 Conclusions -- References -- Reduced-Order Methods in Medical Imaging -- 1 Introduction -- 2 Methods -- 2.1 Medical Tomography -- 2.2 Proper Orthogonal Decomposition -- 2.3 Downsampled POD Method -- 2.4 Hybrid-POD Method -- 2.5 Implementation Details -- 3 Results -- 3.1 Test Tube with Fish Eggs -- 3.2 Down-Sampling Results -- 3.3 Hybrid-POD Method -- 4 Discussion -- 5 Conclusion -- References -- Efficient Krylov Subspace Techniques for Model Order Reduction of Automotive Structures in Vibroacoustic Applications -- 1 Introduction -- 2 Krylov-Based Model Order Reduction -- 2.1 Problem Definition -- 2.2 Reduction Framework -- 3 Numerical Implementation -- 4 Results -- 4.1 Generic System -- 4.2 Coupled System -- 5 Conclusions and Remarks -- References -- Model-Based Adaptive MOR Framework for Unsteady Flows Around Lifting Bodies -- 1 Introduction -- 2 Linear Reduced Basis Methods -- 3 Adaptive Approach -- 3.1 Physical Problem: Navier-Stokes Equations -- 3.2 Error Estimation -- 3.3 Sensitivity -- 4 Demonstration on Lifting Surfaces -- 4.1 Stalled NACA0012 Airfoil -- 4.2 High-Lift 30P30N Airfoil -- 5 Final Remarks and Outlook -- References -- Reduced Basis Methods for Quasilinear Elliptic PDEs with Applications to Permanent Magnet Synchronous Motors -- 1 Introduction -- 2 The Quasilinear Parametric Elliptic PDE -- 2.1 Abstract Formulation -- 3 Reduced Basis Approximation -- 3.1 An EIM-RB Method -- 3.2 Error Estimation -- 3.3 Computational Procedure -- 3.4 Numerical Results -- 4 Conclusion -- References -- Structure-Preserving Reduced- Order Modeling of Non-Traditional Shallow Water Equation -- 1 Introduction.
2 Shallow Water Equation -- 3 Full- Order Model -- 4 Reduced- Order Model -- 5 Numerical Results -- 5.1 Single-Layer Geostrophic Adjustment -- 5.2 Single-Layer Shear Instability -- 6 Conclusions -- References -- *-20pt Benchmarks and Software of Model Order Reduction -- A Non-stationary Thermal-Block Benchmark Model for Parametric Model Order Reduction -- 1 Introduction -- 2 Problem Description -- 3 Problem Variants -- 3.1 Four-Parameter LTI System -- 3.2 Single-Parameter LTI System -- 3.3 Non-parametric LTI System -- 4 Conclusion -- References -- Parametric Model Order Reduction Using pyMOR -- 1 Introduction -- 2 Software Design -- 3 Overview of Model Order Reduction Methods -- 3.1 Reduced Basis Method -- 3.2 System-Theoretic Methods -- 4 Numerical Results -- 4.1 Non-parametric Version -- 4.2 Single-Parameter Version -- 4.3 Four-Parameter Version -- 5 Conclusions -- References -- Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1-Philosophy, Features, and Application for (Parametric) Model Order Reduction -- 1 Introduction -- 1.1 A Brief History of M-M.E.S.S. -- 1.2 Structure of This Chapter -- 2 M-M.E.S.S.-Philosophy and Features -- 2.1 Available Solver Functions and Underlying Methods -- 3 Model Order Reduction in M-M.E.S.S. -- 3.1 IRKA and Classic Balanced Truncation -- 3.2 Further Variants of Balanced Truncation -- 4 Parametric Model Order Reduction Using M-M.E.S.S. -- 4.1 Piecewise MOR -- 4.2 Interpolation of Transfer Functions -- 5 Numerical Experiments -- References -- MORLAB-The Model Order Reduction LABoratory -- 1 Introduction -- 2 Code Design Principles -- 2.1 Toolbox Structure -- 2.2 Function Interfaces -- 2.3 Documentation -- 3 Additive System Decomposition Approach -- 3.1 Standard System Case -- 3.2 Descriptor System Case -- 4 Model Reduction with the MORLAB Toolbox -- 4.1 First-Order Methods -- 4.2 Second-Order Methods.
5 Numerical Examples.
Record Nr. UNISA-996466393103316
Cham, Switzerland : , : Springer International Publishing, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Model reduction of complex dynamical systems / / Peter Benner [and five others]
Model reduction of complex dynamical systems / / Peter Benner [and five others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2021]
Descrizione fisica 1 online resource (416 pages)
Disciplina 309.173092
Collana International Series of Numerical Mathematics
Soggetto topico System theory - History
Dynamics - Statistical methods
Teoria de sistemes
Dinàmica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-72983-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- *-20pt Methods and Techniques of Model Order Reduction -- On Bilinear Time-Domain Identification and Reduction in the Loewner Framework -- 1 Introduction -- 1.1 Outline of the Paper -- 2 System Theory Preliminaries -- 2.1 Linear Systems -- 2.2 Nonlinear Systems -- 3 The Loewner Framework -- 3.1 The Loewner Matrix -- 3.2 Construction of Interpolants -- 4 The Special Case of Bilinear Systems -- 4.1 The Growing Exponential Approach -- 4.2 The Kernel Separation Method -- 4.3 Identification of the Matrix N -- 4.4 A Separation Strategy for the second Kernel -- 4.5 The Loewner-Volterra Algorithm for Time-Domain Bilinear Identification and Reduction -- 4.6 Computational Effort of the Proposed Method -- 5 Numerical Examples -- 6 Conclusion -- References -- Balanced Truncation for Parametric Linear Systems Using Interpolation of Gramians: A Comparison of Algebraic and Geometric Approaches -- 1 Introduction -- 2 Balanced Truncation for Parametric Linear Systems and Standard Interpolation -- 2.1 Balanced Truncation -- 2.2 Interpolation of Gramians for Parametric Model Order Reduction -- 2.3 Offline-Online Decomposition -- 3 Interpolation on the Manifold mathcalS+(k,n) -- 3.1 A Quotient Geometry of mathcalS+(k,n) -- 3.2 Curve and Surface Interpolation on Manifolds -- 4 Numerical Examples -- 4.1 A model for heat conduction in solid material -- 4.2 An Anemometer Model -- 5 Conclusion -- References -- Toward Fitting Structured Nonlinear Systems by Means of Dynamic Mode Decomposition -- 1 Introduction -- 2 Dynamic Mode Decomposition -- 2.1 Dynamic Mode Decomposition with Control (DMDc) -- 2.2 Input-Output Dynamic Mode Decomposition -- 3 The Proposed Extensions -- 3.1 Bilinear Systems -- 3.2 Quadratic-Bilinear Systems -- 4 Numerical Experiments -- 4.1 The Viscous Burgers' Equation -- 4.2 Coupled van der Pol Oscillators.
5 Conclusion -- 6 Appendix -- 6.1 Computation of the Reduced-Order Matrices for the Quadratic-Bilinear Case -- References -- Clustering-Based Model Order Reduction for Nonlinear Network Systems -- 1 Introduction -- 2 Preliminaries -- 2.1 Graph Theory -- 2.2 Graph Partitions -- 2.3 Linear Multi-agent Systems -- 2.4 Clustering-Based Model Order Reduction -- 2.5 Model Reduction for Non-asymptotically Stable Systems -- 3 Clustering for Linear Multi-agent Systems -- 4 Clustering for Nonlinear Multi-agent Systems -- 4.1 Nonlinear Multi-agent Systems -- 4.2 Clustering by Projection -- 5 Numerical Examples -- 5.1 Small Network Example -- 5.2 van der Pol Oscillators -- 6 Conclusions -- References -- Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain -- 1 Introduction -- 2 Interpolatory MOR -- 3 Greedy Method for Choosing Interpolation Points -- 4 Adaptive Training by Learning the Error Estimator in the Parameter Domain -- 4.1 Radial Basis Functions -- 4.2 Learning the Error Estimator over the Parameter Domain -- 4.3 Adaptive Choice of Interpolation Points with Surrogate Error Estimator -- 5 Numerical Examples -- 5.1 RLC Interconnect Circuit -- 5.2 Thermal Model -- 5.3 Dual-Mode Circular Waveguide Filter -- 6 Conclusion -- References -- A Link Between Gramian-Based Model Order Reduction and Moment Matching -- 1 Introduction -- 1.1 Balancing of LTI Systems -- 1.2 Rational Interpolation -- 1.3 Organization of Paper -- 2 Gramian Quadrature Algorithm -- 2.1 Approximating the Gramian via Runge-Kutta Methods -- 2.2 Computation of mathcalHj in Algorithm 1 -- 2.3 The Space Spanned by the Approximate Cholesky Factor Z -- 3 Approximate Balancing Transformation -- 4 Connection to Other Methods -- 4.1 Balanced POD -- 4.2 The ADI Iteration -- 5 Examples -- 6 Conclusion -- References.
Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms -- 1 Introduction -- 2 Empirical Gramians for Linear Systems -- 2.1 Empirical Controllability Gramian -- 2.2 Empirical Observability Gramian -- 2.3 Empirical Cross Gramian -- 2.4 Parametric Empirical Gramians -- 3 Empirical-Gramian-Based Model Reduction -- 3.1 Empirical Poor Man -- 3.2 Empirical Approximate Balancing -- 3.3 Empirical Dominant Subspaces -- 3.4 Empirical Balanced Truncation -- 3.5 Empirical Balanced Gains -- 4 Approximate Norms -- 4.1 Signal Norms -- 4.2 System Norms -- 4.3 Modified Induced Norms -- 4.4 Parametric Norms -- 5 MORscore -- 6 Benchmark Comparison -- 6.1 emgr - EMpirical GRamian Framework -- 6.2 Thermal Block Benchmark -- 6.3 Numerical Results -- 7 Conclusion -- References -- Optimization-Based Parametric Model Order Reduction for the Application to the Frequency-Domain Analysis of Complex Systems -- 1 Introduction -- 2 Basics of the Global Basis and Krylov Subspace Method -- 2.1 Krylov Subspaces -- 2.2 Affine Matrix Decomposition -- 3 OGPA: Optimization-based Greedy Parameter Sampling -- 3.1 Grid-Free Sampling -- 3.2 A-Posteriori Model Quality Evaluation -- 4 Numerical Examples -- 4.1 Cantilever Solid Beam -- 4.2 Rear Axle Carrier -- 5 Summary -- References -- On Extended Model Order Reduction for Linear Time Delay Systems -- 1 Introduction -- 2 Problem Statement -- 3 Observability and Controllability Inequalities -- 4 Model order reduction by truncation -- 5 Feasibility of the Matrix Inequalities -- 6 Example: Delay Neural Fields -- 7 Application to Parameterized Model Reduction -- 7.1 Example -- 8 Conclusions -- References -- *-20pt Applications of Model Order Reduction -- A Practical Method for the Reductionpg of Linear Thermo-Mechanical Dynamic Equations -- 1 Introduction -- 2 The Thermo-Mechanical Model -- 2.1 Structural Mechanics.
2.2 Heat Transfer -- 2.3 Coupling of Equations -- 3 Derivation of the Reduction Algorithm -- 3.1 Model Order Reduction -- 3.2 Extraction of the Coupling Matrix -- 3.3 Algorithm -- 4 Implementation and Results -- 4.1 Modeling -- 4.2 Results -- 5 Conclusions -- References -- Reduced-Order Methods in Medical Imaging -- 1 Introduction -- 2 Methods -- 2.1 Medical Tomography -- 2.2 Proper Orthogonal Decomposition -- 2.3 Downsampled POD Method -- 2.4 Hybrid-POD Method -- 2.5 Implementation Details -- 3 Results -- 3.1 Test Tube with Fish Eggs -- 3.2 Down-Sampling Results -- 3.3 Hybrid-POD Method -- 4 Discussion -- 5 Conclusion -- References -- Efficient Krylov Subspace Techniques for Model Order Reduction of Automotive Structures in Vibroacoustic Applications -- 1 Introduction -- 2 Krylov-Based Model Order Reduction -- 2.1 Problem Definition -- 2.2 Reduction Framework -- 3 Numerical Implementation -- 4 Results -- 4.1 Generic System -- 4.2 Coupled System -- 5 Conclusions and Remarks -- References -- Model-Based Adaptive MOR Framework for Unsteady Flows Around Lifting Bodies -- 1 Introduction -- 2 Linear Reduced Basis Methods -- 3 Adaptive Approach -- 3.1 Physical Problem: Navier-Stokes Equations -- 3.2 Error Estimation -- 3.3 Sensitivity -- 4 Demonstration on Lifting Surfaces -- 4.1 Stalled NACA0012 Airfoil -- 4.2 High-Lift 30P30N Airfoil -- 5 Final Remarks and Outlook -- References -- Reduced Basis Methods for Quasilinear Elliptic PDEs with Applications to Permanent Magnet Synchronous Motors -- 1 Introduction -- 2 The Quasilinear Parametric Elliptic PDE -- 2.1 Abstract Formulation -- 3 Reduced Basis Approximation -- 3.1 An EIM-RB Method -- 3.2 Error Estimation -- 3.3 Computational Procedure -- 3.4 Numerical Results -- 4 Conclusion -- References -- Structure-Preserving Reduced- Order Modeling of Non-Traditional Shallow Water Equation -- 1 Introduction.
2 Shallow Water Equation -- 3 Full- Order Model -- 4 Reduced- Order Model -- 5 Numerical Results -- 5.1 Single-Layer Geostrophic Adjustment -- 5.2 Single-Layer Shear Instability -- 6 Conclusions -- References -- *-20pt Benchmarks and Software of Model Order Reduction -- A Non-stationary Thermal-Block Benchmark Model for Parametric Model Order Reduction -- 1 Introduction -- 2 Problem Description -- 3 Problem Variants -- 3.1 Four-Parameter LTI System -- 3.2 Single-Parameter LTI System -- 3.3 Non-parametric LTI System -- 4 Conclusion -- References -- Parametric Model Order Reduction Using pyMOR -- 1 Introduction -- 2 Software Design -- 3 Overview of Model Order Reduction Methods -- 3.1 Reduced Basis Method -- 3.2 System-Theoretic Methods -- 4 Numerical Results -- 4.1 Non-parametric Version -- 4.2 Single-Parameter Version -- 4.3 Four-Parameter Version -- 5 Conclusions -- References -- Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1-Philosophy, Features, and Application for (Parametric) Model Order Reduction -- 1 Introduction -- 1.1 A Brief History of M-M.E.S.S. -- 1.2 Structure of This Chapter -- 2 M-M.E.S.S.-Philosophy and Features -- 2.1 Available Solver Functions and Underlying Methods -- 3 Model Order Reduction in M-M.E.S.S. -- 3.1 IRKA and Classic Balanced Truncation -- 3.2 Further Variants of Balanced Truncation -- 4 Parametric Model Order Reduction Using M-M.E.S.S. -- 4.1 Piecewise MOR -- 4.2 Interpolation of Transfer Functions -- 5 Numerical Experiments -- References -- MORLAB-The Model Order Reduction LABoratory -- 1 Introduction -- 2 Code Design Principles -- 2.1 Toolbox Structure -- 2.2 Function Interfaces -- 2.3 Documentation -- 3 Additive System Decomposition Approach -- 3.1 Standard System Case -- 3.2 Descriptor System Case -- 4 Model Reduction with the MORLAB Toolbox -- 4.1 First-Order Methods -- 4.2 Second-Order Methods.
5 Numerical Examples.
Record Nr. UNINA-9910495220303321
Cham, Switzerland : , : Springer International Publishing, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Optimal control / / Leonid T. Ashchepkov [and three others]
Optimal control / / Leonid T. Ashchepkov [and three others]
Autore Ashchepkov Leonid T.
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (252 pages)
Disciplina 519.3
Soggetto topico Mathematical optimization
Calculus of variations
System theory
Optimització matemàtica
Càlcul de variacions
Teoria de sistemes
Soggetto genere / forma Llibres electrònics
ISBN 3-030-91029-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910520084503321
Ashchepkov Leonid T.  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Optimal control / / Leonid T. Ashchepkov [and three others]
Optimal control / / Leonid T. Ashchepkov [and three others]
Autore Ashchepkov Leonid T.
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (252 pages)
Disciplina 519.3
Soggetto topico Mathematical optimization
Calculus of variations
System theory
Optimització matemàtica
Càlcul de variacions
Teoria de sistemes
Soggetto genere / forma Llibres electrònics
ISBN 3-030-91029-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466551703316
Ashchepkov Leonid T.  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui