Lectures on variational analysis / / Asen L. Dontchev |
Autore | Dontchev A. L. <1948-> |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (223 pages) |
Disciplina | 515 |
Collana | Applied Mathematical Sciences |
Soggetto topico |
Mathematical optimization
Calculus of variations Mathematical analysis Anàlisi matemàtica Càlcul de variacions Optimització matemàtica Teoria de control |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9783030799113
9783030799106 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910544847603321 |
Dontchev A. L. <1948-> | ||
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Linearization of nonlinear control systems / / Hong-Gi Lee |
Autore | Lee Hong-Gi |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (591 pages) |
Disciplina | 512.55 |
Soggetto topico |
Lie algebras
Nonlinear control theory Sistemes no lineals Teoria de control Àlgebres de Lie |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9789811936432
9789811936425 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996490347703316 |
Lee Hong-Gi | ||
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Linearization of nonlinear control systems / / Hong-Gi Lee |
Autore | Lee Hong-Gi |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (591 pages) |
Disciplina | 512.55 |
Soggetto topico |
Lie algebras
Nonlinear control theory Sistemes no lineals Teoria de control Àlgebres de Lie |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9789811936432
9789811936425 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910591036903321 |
Lee Hong-Gi | ||
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|
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 | ||
|
Multi-dimensional control problems : robust approach / / Anurag Jayswal, Preeti, and Savin Treanţa |
Autore | Jayswal Anurag |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (195 pages) |
Disciplina | 519.3 |
Collana | Industrial and Applied Mathematics |
Soggetto topico |
Mathematical optimization
Control theory - Data processing Optimització matemàtica Teoria de control Control de robustesa |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-19-6561-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910624311303321 |
Jayswal Anurag | ||
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Multi-dimensional control problems : robust approach / / Anurag Jayswal, Preeti, and Savin Treanţa |
Autore | Jayswal Anurag |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (195 pages) |
Disciplina | 519.3 |
Collana | Industrial and Applied Mathematics |
Soggetto topico |
Mathematical optimization
Control theory - Data processing Optimització matemàtica Teoria de control Control de robustesa |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-19-6561-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996495770403316 |
Jayswal Anurag | ||
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Non-smooth and complementarity-based distributed parameter systems : simulation and hierarchical optimization / / edited by Michael Hintermüller, [and three others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (518 pages) |
Disciplina | 003.78 |
Collana | International Series of Numerical Mathematics |
Soggetto topico |
Distributed parameter systems
Teoria de control |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-79393-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- Error Bounds for Discretized Optimal Transport and Its Reliable Efficient Numerical Solution -- 1 Introduction -- 2 Discretized Optimal Transport -- 2.1 General Formulation -- 2.2 Discretization -- 2.3 Optimality Conditions -- 2.4 Sparsity -- 3 Error Analysis -- 4 Active-Set Strategy -- 5 Numerical Experiments -- 5.1 Problem Specifications -- 5.2 Complexity Considerations -- 5.3 Experimental Convergence Rates -- References -- Numerical Methods for Diagnosis and Therapy Design of Cerebral Palsy by Bilevel Optimal Control of Constrained Biomechanical Multi-Body Systems -- 1 Introduction -- 1.1 Cerebral Palsy -- 1.2 Modeling Approach -- 2 Modeling the Human Body -- 2.1 Rigid Multi-Body Systems -- 2.2 Detailed Submodules -- 2.2.1 Foot Modeling and Ground Contact -- 2.2.2 Muscle Modeling -- 2.3 Biomechanical Model for p03-cp Patients -- 3 Modeling the Human Gait -- 3.1 A Multi-Phase Optimal Control Approach -- 3.2 A Mixed-Integer Optimal Control Approach -- 4 Two Bilevel Problems for Diagnosis and Therapy Design of Cerebral Palsy -- 4.1 An Inverse Optimal Control Problem for Diagnosis of Cerebral Palsy -- 4.2 A Robustified Optimal Control Problem for Therapy Design of Cerebral Palsy -- 5 Conclusions and Outlook -- References -- ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation -- 1 Introduction -- 2 A Continuation Method for MOPs with Inexact Objective Gradients -- 2.1 Multiobjective Optimization -- 2.2 Continuation Method with Exact Gradients -- 2.3 Continuation Method with Inexact Gradients -- 2.3.1 Strategy 1 -- 2.3.2 Strategy 2 -- 2.4 Globalization Approach -- 3 Multiobjective Optimization of an Elliptic PDE Using the RB Method -- 3.1 Multiobjective Optimization of an Elliptic PDE -- 3.2 The Reduced Basis Method -- 3.3 Error Estimation for the Gradients -- 4 Numerical Results.
4.1 Generation of the Reduced Basis -- 4.2 Application of the Continuation Methods to an MPOP -- 5 Conclusion and Outlook -- Appendix A: Proof of Theorem 2.10 -- References -- Analysis and Solution Methods for Bilevel Optimal Control Problems -- 1 Introduction -- 2 Two Example Problems -- 3 Optimality Conditions -- 3.1 Definition of Optimality Systems for (IOCf) -- 3.2 Regularization Approach -- 3.2.1 Assumptions and Properties of the Lower Level Problem -- 3.2.2 C-Stationarity for Local Minimizers -- 3.3 Relaxation Approach -- 3.3.1 The Optimal Value Reformulation and Its Relaxation -- 3.3.2 C-Stationarity for Local Minimizers -- 3.4 Variational Analysis Approach and Mordukhovich-Stationarity -- 3.5 Comments on Biactivity and S-Stationarity -- 4 Numerical Solution -- 4.1 Global Solution Algorithm for ([eq:upperlevel]IOCf2) -- 4.2 Numerical Example -- 5 Future Perspectives -- References -- A Calculus for Non-smooth Shape Optimization with Applications to Geometric Inverse Problems -- 1 Introduction -- 2 Image Reconstruction on Surfaces -- 2.1 Functions of Bounded Variation on Surfaces -- 2.2 Dual Representation -- 2.3 Implementation Details and Numerical Results -- 2.4 Discrete Total Variation -- 3 Shape Optimization Using Total Variation of the Normal Vector Field -- 3.1 Total Variation of Normal -- 3.2 Mesh Denoising -- 3.3 Inverse Problem -- 4 Conclusion and Outlook -- References -- Rate-Independent Systems and Their Viscous Regularizations: Analysis, Simulation, and Optimal Control -- 1 Introduction -- 2 Rate-Independent Systems and Solution Concepts -- 3 Discretization Schemes for Rate-Independent Systems and Their Convergence -- 3.1 The Semilinear Setting -- 3.2 Discretization Schemes, Abstract Semilinear Setting -- 3.3 A Priori Estimates, Abstract Semilinear Setting -- 3.4 Finite-Element Discretization and Numerical Realization. 4 Optimal Control of Rate-Independent Systems -- 5 Optimal Control of Thermo-Viscoplasticity -- References -- Generalized Nash Equilibrium Problems with Partial Differential Operators: Theory, Algorithms, and Risk Aversion -- 1 Introduction -- 2 Nash Games Involving Nonlinear Operator Equations -- 2.1 On the Convexity of Optimal Control Problems Involving Nonlinear Operator Equations -- 3 Nash Games Using Penalization Techniques -- 3.1 -Convergence -- 4 PDE-Constrained GNEPs Under Uncertainty -- 4.1 Motivation -- 4.2 Additional Notation and Preliminary Results -- 4.3 Risk-Averse PDE-Constrained Optimization: Theory -- 4.4 A Risk-Averse PDE-Constrained Nash Equilibrium Problem -- 4.5 Risk-Averse PDE-Constrained Decision Problems: Smooth Approximation -- 4.6 Risk-Averse PDE-Constrained Optimization: Solution Methods -- 5 Outlook -- References -- Stability and Sensitivity Analysis for Quasi-Variational Inequalities -- 1 Introduction -- 2 QVIs: Mathematical Setting and Existence -- 2.1 Existence of Solutions: Order Approach -- 2.2 Existence of Solutions: Iteration Approach -- 2.3 Miscellaneous: A Pitfall -- 3 Sensitivities -- 3.1 Stability for Minimal and Maximal Solution Maps -- 3.2 Directional Differentiability -- 3.3 Parabolic QVIs -- 3.4 Application to Thermoforming -- 3.4.1 The Model -- 3.4.2 Properties and Existence for the System -- 3.4.3 Numerical Implementation Details -- 3.4.4 Numerical Results -- 4 Control of QVIs -- 5 Outlook -- References -- Simulation and Control of a Nonsmooth Cahn-Hilliard Navier-Stokes System with Variable Fluid Densities -- 1 Introduction -- 2 Problem Setting -- 3 Optimal Control of the Semi-Discrete CHNS System -- 3.1 The Semi-Discrete CHNS System and the Optimal Control Problem -- 3.2 Existence of Feasible and Globally Optimal Points -- 3.3 E-Almost C-Stationary Points -- 3.4 Strong Stationarity. 3.5 Adaptive Mesh Refinement -- 3.6 Penalization Algorithm -- 3.7 Bundle-Free Implicit Programming Approach -- 4 Model Order Reduction with Proper Orthogonal Decomposition -- 4.1 POD in Hilbert Spaces with Space-Adapted Snapshots -- 4.2 POD Reduced-Order Modeling for the Cahn-Hilliard System -- 4.3 Numerical Example of POD-MOR for the Cahn-Hilliard System -- 4.4 Stable POD Reduced-Order Modeling for Navier-Stokes with Space-Adapted Snapshots -- 5 Outlook -- References -- Safeguarded Augmented Lagrangian Methods in Banach Spaces -- 1 Introduction -- 2 Background Material -- 2.1 Cones -- 2.2 Convex Functions and Concave Operators -- 2.3 Pseudomonotone Operators -- 2.4 KKT-Type Conditions -- 3 Motivation and Statement of the Algorithm -- 3.1 The Original Method of Multipliers -- 3.2 Inequality Constraints and Slack Variables -- 3.3 The Algorithm -- 4 Global Convergence Theory -- 4.1 Existence of Penalized Solutions -- 4.2 Convergence to Global Minimizers -- 4.3 Stationarity of Limit Points -- 5 Local Convergence -- 5.1 Existence of Local Minima und Strong Convergence -- 5.2 Rate of Convergence -- 6 Numerical Results -- 6.1 State-Constrained Optimal Control Problems -- 6.2 Bratu's Obstacle Problem -- 6.3 C-Minimization -- 7 Final Remarks -- References -- Decomposition and Approximation for PDE-Constrained Mixed-Integer Optimal Control -- 1 Introduction -- 1.1 Outline of the Remaining Sections -- 1.2 Notation -- 2 Approximation Arguments for the CIA Decomposition -- 2.1 Properties of Rounding Meshes and Algorithms -- 2.2 Weak Control Approximation -- 2.3 State Vector Approximation -- 2.4 Optimality and Feasibility in the Absence of Mixed Constraints -- 2.5 Optimality and Feasibility in the Presence of Mixed Constraints -- 3 Approximation Quality of Roundings -- 3.1 Sum-up Rounding Algorithms -- 3.2 Combinatorial Integral Approximation Problems. 4 Solving the CIA Problem -- 5 Illustration of the Multidimensional Control Approximation -- 5.1 Test Problem -- 5.2 Mesh Structure and Sierpinski Curve -- 5.3 Numerical Results Obtained with the CIA Decomposition -- 6 Conclusion -- References -- Strong Stationarity for Optimal Control of Variational Inequalities of the Second Kind -- 1 Introduction -- 2 Strong Stationarity in an Abstract Framework -- 3 Application to Concrete Settings -- 3.1 The Obstacle Problem -- 3.2 Static Elastoplasticity -- 3.3 The Lasso Problem in Sobolev Spaces -- 3.4 Non-Newtonian Fluids: The Mosolov Problem -- 4 Conclusion -- Appendix A: Auxiliary Results -- References -- Optimizing Fracture Propagation Using a Phase-Field Approach -- 1 Introduction -- 2 Problem Setting -- 2.1 Model Problem, Notation, and Assumptions -- 2.2 The Phase-Field Equation -- 3 The Limiting First-Order Necessary Conditions -- 4 An SQP Method for (NLPγ) -- 4.1 The SQP Algorithm -- 4.2 First-Order Optimality Conditions for (QPγ) and Its Limit -- 4.3 Approximation of (QPγ) by Finite Elements -- 5 An SQP Method for (NLPVI) -- 5.1 SQP Algorithm for (NLPVI) -- 5.2 Convergence of FE Approximation to (QPVI) -- References -- Algorithms for Optimal Control of Elastic Contact Problems with Finite Strain -- 1 Introduction -- 2 Contact Problems in Hyperelasticity -- 3 Optimal Control of Nonlinear Elastic Contact Problems -- 4 Numerical Optimization Algorithms -- 4.1 An Affine Covariant Composite Step Method -- 4.2 Computation of Steps by Iterative Solvers -- 4.3 Inexact Constraint Preconditioning -- 4.4 Accuracy Matching -- 4.5 Choice of Functional Analytic Framework -- 4.6 Non-convexity of Objective and Energy -- 4.7 Non-convexity of the Energy -- 4.8 Path Following -- 5 Conclusion and Outlook -- References -- Algorithms Based on Abs-Linearization for Non-smooth Optimization with PDE Constraints. 1 Motivation and Introduction. |
Record Nr. | UNINA-9910547294003321 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Non-smooth and complementarity-based distributed parameter systems : simulation and hierarchical optimization / / edited by Michael Hintermüller, [and three others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (518 pages) |
Disciplina | 003.78 |
Collana | International Series of Numerical Mathematics |
Soggetto topico |
Distributed parameter systems
Teoria de control |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-79393-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- Error Bounds for Discretized Optimal Transport and Its Reliable Efficient Numerical Solution -- 1 Introduction -- 2 Discretized Optimal Transport -- 2.1 General Formulation -- 2.2 Discretization -- 2.3 Optimality Conditions -- 2.4 Sparsity -- 3 Error Analysis -- 4 Active-Set Strategy -- 5 Numerical Experiments -- 5.1 Problem Specifications -- 5.2 Complexity Considerations -- 5.3 Experimental Convergence Rates -- References -- Numerical Methods for Diagnosis and Therapy Design of Cerebral Palsy by Bilevel Optimal Control of Constrained Biomechanical Multi-Body Systems -- 1 Introduction -- 1.1 Cerebral Palsy -- 1.2 Modeling Approach -- 2 Modeling the Human Body -- 2.1 Rigid Multi-Body Systems -- 2.2 Detailed Submodules -- 2.2.1 Foot Modeling and Ground Contact -- 2.2.2 Muscle Modeling -- 2.3 Biomechanical Model for p03-cp Patients -- 3 Modeling the Human Gait -- 3.1 A Multi-Phase Optimal Control Approach -- 3.2 A Mixed-Integer Optimal Control Approach -- 4 Two Bilevel Problems for Diagnosis and Therapy Design of Cerebral Palsy -- 4.1 An Inverse Optimal Control Problem for Diagnosis of Cerebral Palsy -- 4.2 A Robustified Optimal Control Problem for Therapy Design of Cerebral Palsy -- 5 Conclusions and Outlook -- References -- ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation -- 1 Introduction -- 2 A Continuation Method for MOPs with Inexact Objective Gradients -- 2.1 Multiobjective Optimization -- 2.2 Continuation Method with Exact Gradients -- 2.3 Continuation Method with Inexact Gradients -- 2.3.1 Strategy 1 -- 2.3.2 Strategy 2 -- 2.4 Globalization Approach -- 3 Multiobjective Optimization of an Elliptic PDE Using the RB Method -- 3.1 Multiobjective Optimization of an Elliptic PDE -- 3.2 The Reduced Basis Method -- 3.3 Error Estimation for the Gradients -- 4 Numerical Results.
4.1 Generation of the Reduced Basis -- 4.2 Application of the Continuation Methods to an MPOP -- 5 Conclusion and Outlook -- Appendix A: Proof of Theorem 2.10 -- References -- Analysis and Solution Methods for Bilevel Optimal Control Problems -- 1 Introduction -- 2 Two Example Problems -- 3 Optimality Conditions -- 3.1 Definition of Optimality Systems for (IOCf) -- 3.2 Regularization Approach -- 3.2.1 Assumptions and Properties of the Lower Level Problem -- 3.2.2 C-Stationarity for Local Minimizers -- 3.3 Relaxation Approach -- 3.3.1 The Optimal Value Reformulation and Its Relaxation -- 3.3.2 C-Stationarity for Local Minimizers -- 3.4 Variational Analysis Approach and Mordukhovich-Stationarity -- 3.5 Comments on Biactivity and S-Stationarity -- 4 Numerical Solution -- 4.1 Global Solution Algorithm for ([eq:upperlevel]IOCf2) -- 4.2 Numerical Example -- 5 Future Perspectives -- References -- A Calculus for Non-smooth Shape Optimization with Applications to Geometric Inverse Problems -- 1 Introduction -- 2 Image Reconstruction on Surfaces -- 2.1 Functions of Bounded Variation on Surfaces -- 2.2 Dual Representation -- 2.3 Implementation Details and Numerical Results -- 2.4 Discrete Total Variation -- 3 Shape Optimization Using Total Variation of the Normal Vector Field -- 3.1 Total Variation of Normal -- 3.2 Mesh Denoising -- 3.3 Inverse Problem -- 4 Conclusion and Outlook -- References -- Rate-Independent Systems and Their Viscous Regularizations: Analysis, Simulation, and Optimal Control -- 1 Introduction -- 2 Rate-Independent Systems and Solution Concepts -- 3 Discretization Schemes for Rate-Independent Systems and Their Convergence -- 3.1 The Semilinear Setting -- 3.2 Discretization Schemes, Abstract Semilinear Setting -- 3.3 A Priori Estimates, Abstract Semilinear Setting -- 3.4 Finite-Element Discretization and Numerical Realization. 4 Optimal Control of Rate-Independent Systems -- 5 Optimal Control of Thermo-Viscoplasticity -- References -- Generalized Nash Equilibrium Problems with Partial Differential Operators: Theory, Algorithms, and Risk Aversion -- 1 Introduction -- 2 Nash Games Involving Nonlinear Operator Equations -- 2.1 On the Convexity of Optimal Control Problems Involving Nonlinear Operator Equations -- 3 Nash Games Using Penalization Techniques -- 3.1 -Convergence -- 4 PDE-Constrained GNEPs Under Uncertainty -- 4.1 Motivation -- 4.2 Additional Notation and Preliminary Results -- 4.3 Risk-Averse PDE-Constrained Optimization: Theory -- 4.4 A Risk-Averse PDE-Constrained Nash Equilibrium Problem -- 4.5 Risk-Averse PDE-Constrained Decision Problems: Smooth Approximation -- 4.6 Risk-Averse PDE-Constrained Optimization: Solution Methods -- 5 Outlook -- References -- Stability and Sensitivity Analysis for Quasi-Variational Inequalities -- 1 Introduction -- 2 QVIs: Mathematical Setting and Existence -- 2.1 Existence of Solutions: Order Approach -- 2.2 Existence of Solutions: Iteration Approach -- 2.3 Miscellaneous: A Pitfall -- 3 Sensitivities -- 3.1 Stability for Minimal and Maximal Solution Maps -- 3.2 Directional Differentiability -- 3.3 Parabolic QVIs -- 3.4 Application to Thermoforming -- 3.4.1 The Model -- 3.4.2 Properties and Existence for the System -- 3.4.3 Numerical Implementation Details -- 3.4.4 Numerical Results -- 4 Control of QVIs -- 5 Outlook -- References -- Simulation and Control of a Nonsmooth Cahn-Hilliard Navier-Stokes System with Variable Fluid Densities -- 1 Introduction -- 2 Problem Setting -- 3 Optimal Control of the Semi-Discrete CHNS System -- 3.1 The Semi-Discrete CHNS System and the Optimal Control Problem -- 3.2 Existence of Feasible and Globally Optimal Points -- 3.3 E-Almost C-Stationary Points -- 3.4 Strong Stationarity. 3.5 Adaptive Mesh Refinement -- 3.6 Penalization Algorithm -- 3.7 Bundle-Free Implicit Programming Approach -- 4 Model Order Reduction with Proper Orthogonal Decomposition -- 4.1 POD in Hilbert Spaces with Space-Adapted Snapshots -- 4.2 POD Reduced-Order Modeling for the Cahn-Hilliard System -- 4.3 Numerical Example of POD-MOR for the Cahn-Hilliard System -- 4.4 Stable POD Reduced-Order Modeling for Navier-Stokes with Space-Adapted Snapshots -- 5 Outlook -- References -- Safeguarded Augmented Lagrangian Methods in Banach Spaces -- 1 Introduction -- 2 Background Material -- 2.1 Cones -- 2.2 Convex Functions and Concave Operators -- 2.3 Pseudomonotone Operators -- 2.4 KKT-Type Conditions -- 3 Motivation and Statement of the Algorithm -- 3.1 The Original Method of Multipliers -- 3.2 Inequality Constraints and Slack Variables -- 3.3 The Algorithm -- 4 Global Convergence Theory -- 4.1 Existence of Penalized Solutions -- 4.2 Convergence to Global Minimizers -- 4.3 Stationarity of Limit Points -- 5 Local Convergence -- 5.1 Existence of Local Minima und Strong Convergence -- 5.2 Rate of Convergence -- 6 Numerical Results -- 6.1 State-Constrained Optimal Control Problems -- 6.2 Bratu's Obstacle Problem -- 6.3 C-Minimization -- 7 Final Remarks -- References -- Decomposition and Approximation for PDE-Constrained Mixed-Integer Optimal Control -- 1 Introduction -- 1.1 Outline of the Remaining Sections -- 1.2 Notation -- 2 Approximation Arguments for the CIA Decomposition -- 2.1 Properties of Rounding Meshes and Algorithms -- 2.2 Weak Control Approximation -- 2.3 State Vector Approximation -- 2.4 Optimality and Feasibility in the Absence of Mixed Constraints -- 2.5 Optimality and Feasibility in the Presence of Mixed Constraints -- 3 Approximation Quality of Roundings -- 3.1 Sum-up Rounding Algorithms -- 3.2 Combinatorial Integral Approximation Problems. 4 Solving the CIA Problem -- 5 Illustration of the Multidimensional Control Approximation -- 5.1 Test Problem -- 5.2 Mesh Structure and Sierpinski Curve -- 5.3 Numerical Results Obtained with the CIA Decomposition -- 6 Conclusion -- References -- Strong Stationarity for Optimal Control of Variational Inequalities of the Second Kind -- 1 Introduction -- 2 Strong Stationarity in an Abstract Framework -- 3 Application to Concrete Settings -- 3.1 The Obstacle Problem -- 3.2 Static Elastoplasticity -- 3.3 The Lasso Problem in Sobolev Spaces -- 3.4 Non-Newtonian Fluids: The Mosolov Problem -- 4 Conclusion -- Appendix A: Auxiliary Results -- References -- Optimizing Fracture Propagation Using a Phase-Field Approach -- 1 Introduction -- 2 Problem Setting -- 2.1 Model Problem, Notation, and Assumptions -- 2.2 The Phase-Field Equation -- 3 The Limiting First-Order Necessary Conditions -- 4 An SQP Method for (NLPγ) -- 4.1 The SQP Algorithm -- 4.2 First-Order Optimality Conditions for (QPγ) and Its Limit -- 4.3 Approximation of (QPγ) by Finite Elements -- 5 An SQP Method for (NLPVI) -- 5.1 SQP Algorithm for (NLPVI) -- 5.2 Convergence of FE Approximation to (QPVI) -- References -- Algorithms for Optimal Control of Elastic Contact Problems with Finite Strain -- 1 Introduction -- 2 Contact Problems in Hyperelasticity -- 3 Optimal Control of Nonlinear Elastic Contact Problems -- 4 Numerical Optimization Algorithms -- 4.1 An Affine Covariant Composite Step Method -- 4.2 Computation of Steps by Iterative Solvers -- 4.3 Inexact Constraint Preconditioning -- 4.4 Accuracy Matching -- 4.5 Choice of Functional Analytic Framework -- 4.6 Non-convexity of Objective and Energy -- 4.7 Non-convexity of the Energy -- 4.8 Path Following -- 5 Conclusion and Outlook -- References -- Algorithms Based on Abs-Linearization for Non-smooth Optimization with PDE Constraints. 1 Motivation and Introduction. |
Record Nr. | UNISA-996466419803316 |
Cham, Switzerland : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Nonlinear Systems and Controls [[electronic resource] /] / by Jürgen Adamy |
Autore | Adamy Jürgen |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2022 |
Descrizione fisica | 1 online resource (754 pages) |
Disciplina | 615 |
Soggetto topico |
Control engineering
Computational intelligence Robotics Control and Systems Theory Computational Intelligence Robotic Engineering Teoria de control Sistemes no lineals Intel·ligència computacional |
Soggetto genere / forma | Llibres electrònics |
ISBN |
9783662656334
9783662656327 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Fundamentals of nonlinear systems -- Limit cycles and stability criteria -- Controllability and flatness -- Control for linear controlled systems -- Control for nonlinear controlled systems -- Control for linear and nonlinear controlled systems -- Observers for nonlinear systems -- Dictionary. |
Record Nr. | UNINA-9910633919003321 |
Adamy Jürgen | ||
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|