The Second-Order Adjoint Sensitivity Analysis Methodology / / by Dan Gabriel Cacuci |
Autore | Cacuci Dan Gabriel |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : Chapman and Hall/CRC, , 2018 |
Descrizione fisica | 1 online resource (327 pages) |
Disciplina | 003/.71 |
Collana | Advances in Applied Mathematics |
Soggetto topico |
Sensitivity theory (Mathematics)
Large scale systems Nonlinear systems |
Soggetto genere / forma | Electronic books. |
ISBN |
1-351-64658-3
1-315-12027-5 1-4987-2649-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | MOTIVATION FOR COMPUTING FIRST- AND SECOND-ORDER SENSITIVITIES OF SYSTEM RESPONSES TO THE SYSTEMS PARAMETERS -- The Fundamental Role of Response Sensitivities for Uncertainty Quantification -- The Fundamental Role of Response Sensitivities for Predictive Modeling -- Advantages and Disadvantages of Statistical and Deterministic Methods for Computing Response Sensitivities -- ILLUSTRATIVE APPLICATION OF THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) TO A LINEAR EVOLUTION PROBLEM -- Exact Computation of the 1st-Order Response Sensitivities -- Exact Computation of the 2nd-Order Response Sensitivities -- Computing the 2nd-Order Response Sensitivities Corresponding to the 1st-Order Sensitivities -- Discussion of the Essential Features of the 2nd-ASAM -- Illustrative Use of Response Sensitivities for Predictive Modeling -- THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) FOR LINEAR SYSTEMS -- Mathematical Modeling of a General Linear System -- The 1st-Level Adjoint Sensitivity System (1st-LASS) for Computing Exactly and Efficiently 1st-Order Sensitivities of Scalar-Valued Responses for Linear Systems -- The 2nd-Level Adjoint Sensitivity System (2nd-LASS) for Computing Exactly and Efficiently 1st-Order Sensitivities of Scalar-Valued Responses for Linear Systems -- APPLICATION OF THE 2nd-ASAM TO A LINEAR HEAT CONDUCTION AND CONVECTION BENCHMARK PROBLEM -- Heat Transport Benchmark Problem: Mathematical Modeling -- Computation of First-Order Sensitivities Using the 2nd-ASAM -- Computation of first-order sensitivities of the heated rod temperature -- Computation of first-order sensitivities of the coolant temperature -- Verification of the "ANSYS/FLUENT Adjoint Solver" -- Applying the 2nd-ASAM to Compute the Second-Order Sensitivities and Uncertainties for the Heat Transport Benchmark Problem -- APPLICATION OF THE 2nd-ASAM TO A LINEAR PARTICLE DIFFUSION PROBLEM -- Paradigm Diffusion Problem Description -- Applying the 2nd-ASAM to Compute the First-Order Response Sensitivities to Model Parameters -- Applying the 2nd-ASAM to Compute the Second-Order Response Sensitivities to Model Parameters -- Role of Second-Order Response Sensitivities for Quantifying Non-Gaussian Features of the Response Uncertainty Distribution -- Illustrative Application of First-Order Response Sensitivities for Predictive Modeling -- APPLICATION OF THE 2nd-ASAM FOR COMPUTING SENSITIVITIES OF DETECTOR RESPONSES TO UNCOLLIDED RADIATION TRANSPORT -- The Ray-Tracing Form of the Forward and Adjoint Boltzmann Transport Equation -- Application of the 2nd-ASAM to Compute the First-Order Response Sensitivities to Variations in Model Parameters -- Application of the 2nd-ASAM to Compute the Second-Order Response Sensitivities to Variations in Model Parameters -- THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) FOR NONLINEAR SYSTEMS -- Mathematical Modeling of a General Nonlinear System -- The 1st-Level Adjoint Sensitivity System (1st-LASS) for Computing Exactly and Efficiently the 1st-Order Sensitivities of Scalar-Valued Responses -- The 2nd-Level Adjoint Sensitivity System (2nd-LASS) for Computing Exactly and Efficiently the 2nd-Order Sensitivities of Scalar-Valued Responses for Nonlinear Systems -- APPLICATION OF THE 2nd-ASAM TO A NONLINEAR HEAT CONDUCTION PROBLEM -- Mathematical Modeling of Heated Cylindrical Test Section -- Application of the 2nd-ASAM for Computing the 1st-Order Sensitivities -- Application of the 2nd-ASAM for Computing the 2nd-Order Sensitivities. |
Record Nr. | UNINA-9910468033803321 |
Cacuci Dan Gabriel | ||
Boca Raton, FL : , : Chapman and Hall/CRC, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The Second-Order Adjoint Sensitivity Analysis Methodology / / by Dan Gabriel Cacuci |
Autore | Cacuci Dan Gabriel |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : Chapman and Hall/CRC, , 2018 |
Descrizione fisica | 1 online resource (327 pages) |
Disciplina | 003/.71 |
Collana | Advances in Applied Mathematics |
Soggetto topico |
Sensitivity theory (Mathematics)
Large scale systems Nonlinear systems |
ISBN |
1-351-64658-3
1-315-12027-5 1-4987-2649-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | MOTIVATION FOR COMPUTING FIRST- AND SECOND-ORDER SENSITIVITIES OF SYSTEM RESPONSES TO THE SYSTEMS PARAMETERS -- The Fundamental Role of Response Sensitivities for Uncertainty Quantification -- The Fundamental Role of Response Sensitivities for Predictive Modeling -- Advantages and Disadvantages of Statistical and Deterministic Methods for Computing Response Sensitivities -- ILLUSTRATIVE APPLICATION OF THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) TO A LINEAR EVOLUTION PROBLEM -- Exact Computation of the 1st-Order Response Sensitivities -- Exact Computation of the 2nd-Order Response Sensitivities -- Computing the 2nd-Order Response Sensitivities Corresponding to the 1st-Order Sensitivities -- Discussion of the Essential Features of the 2nd-ASAM -- Illustrative Use of Response Sensitivities for Predictive Modeling -- THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) FOR LINEAR SYSTEMS -- Mathematical Modeling of a General Linear System -- The 1st-Level Adjoint Sensitivity System (1st-LASS) for Computing Exactly and Efficiently 1st-Order Sensitivities of Scalar-Valued Responses for Linear Systems -- The 2nd-Level Adjoint Sensitivity System (2nd-LASS) for Computing Exactly and Efficiently 1st-Order Sensitivities of Scalar-Valued Responses for Linear Systems -- APPLICATION OF THE 2nd-ASAM TO A LINEAR HEAT CONDUCTION AND CONVECTION BENCHMARK PROBLEM -- Heat Transport Benchmark Problem: Mathematical Modeling -- Computation of First-Order Sensitivities Using the 2nd-ASAM -- Computation of first-order sensitivities of the heated rod temperature -- Computation of first-order sensitivities of the coolant temperature -- Verification of the "ANSYS/FLUENT Adjoint Solver" -- Applying the 2nd-ASAM to Compute the Second-Order Sensitivities and Uncertainties for the Heat Transport Benchmark Problem -- APPLICATION OF THE 2nd-ASAM TO A LINEAR PARTICLE DIFFUSION PROBLEM -- Paradigm Diffusion Problem Description -- Applying the 2nd-ASAM to Compute the First-Order Response Sensitivities to Model Parameters -- Applying the 2nd-ASAM to Compute the Second-Order Response Sensitivities to Model Parameters -- Role of Second-Order Response Sensitivities for Quantifying Non-Gaussian Features of the Response Uncertainty Distribution -- Illustrative Application of First-Order Response Sensitivities for Predictive Modeling -- APPLICATION OF THE 2nd-ASAM FOR COMPUTING SENSITIVITIES OF DETECTOR RESPONSES TO UNCOLLIDED RADIATION TRANSPORT -- The Ray-Tracing Form of the Forward and Adjoint Boltzmann Transport Equation -- Application of the 2nd-ASAM to Compute the First-Order Response Sensitivities to Variations in Model Parameters -- Application of the 2nd-ASAM to Compute the Second-Order Response Sensitivities to Variations in Model Parameters -- THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) FOR NONLINEAR SYSTEMS -- Mathematical Modeling of a General Nonlinear System -- The 1st-Level Adjoint Sensitivity System (1st-LASS) for Computing Exactly and Efficiently the 1st-Order Sensitivities of Scalar-Valued Responses -- The 2nd-Level Adjoint Sensitivity System (2nd-LASS) for Computing Exactly and Efficiently the 2nd-Order Sensitivities of Scalar-Valued Responses for Nonlinear Systems -- APPLICATION OF THE 2nd-ASAM TO A NONLINEAR HEAT CONDUCTION PROBLEM -- Mathematical Modeling of Heated Cylindrical Test Section -- Application of the 2nd-ASAM for Computing the 1st-Order Sensitivities -- Application of the 2nd-ASAM for Computing the 2nd-Order Sensitivities. |
Record Nr. | UNINA-9910795446103321 |
Cacuci Dan Gabriel | ||
Boca Raton, FL : , : Chapman and Hall/CRC, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The Second-Order Adjoint Sensitivity Analysis Methodology / / by Dan Gabriel Cacuci |
Autore | Cacuci Dan Gabriel |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : Chapman and Hall/CRC, , 2018 |
Descrizione fisica | 1 online resource (327 pages) |
Disciplina | 003/.71 |
Collana | Advances in Applied Mathematics |
Soggetto topico |
Sensitivity theory (Mathematics)
Large scale systems Nonlinear systems |
ISBN |
1-351-64658-3
1-315-12027-5 1-4987-2649-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | MOTIVATION FOR COMPUTING FIRST- AND SECOND-ORDER SENSITIVITIES OF SYSTEM RESPONSES TO THE SYSTEMS PARAMETERS -- The Fundamental Role of Response Sensitivities for Uncertainty Quantification -- The Fundamental Role of Response Sensitivities for Predictive Modeling -- Advantages and Disadvantages of Statistical and Deterministic Methods for Computing Response Sensitivities -- ILLUSTRATIVE APPLICATION OF THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) TO A LINEAR EVOLUTION PROBLEM -- Exact Computation of the 1st-Order Response Sensitivities -- Exact Computation of the 2nd-Order Response Sensitivities -- Computing the 2nd-Order Response Sensitivities Corresponding to the 1st-Order Sensitivities -- Discussion of the Essential Features of the 2nd-ASAM -- Illustrative Use of Response Sensitivities for Predictive Modeling -- THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) FOR LINEAR SYSTEMS -- Mathematical Modeling of a General Linear System -- The 1st-Level Adjoint Sensitivity System (1st-LASS) for Computing Exactly and Efficiently 1st-Order Sensitivities of Scalar-Valued Responses for Linear Systems -- The 2nd-Level Adjoint Sensitivity System (2nd-LASS) for Computing Exactly and Efficiently 1st-Order Sensitivities of Scalar-Valued Responses for Linear Systems -- APPLICATION OF THE 2nd-ASAM TO A LINEAR HEAT CONDUCTION AND CONVECTION BENCHMARK PROBLEM -- Heat Transport Benchmark Problem: Mathematical Modeling -- Computation of First-Order Sensitivities Using the 2nd-ASAM -- Computation of first-order sensitivities of the heated rod temperature -- Computation of first-order sensitivities of the coolant temperature -- Verification of the "ANSYS/FLUENT Adjoint Solver" -- Applying the 2nd-ASAM to Compute the Second-Order Sensitivities and Uncertainties for the Heat Transport Benchmark Problem -- APPLICATION OF THE 2nd-ASAM TO A LINEAR PARTICLE DIFFUSION PROBLEM -- Paradigm Diffusion Problem Description -- Applying the 2nd-ASAM to Compute the First-Order Response Sensitivities to Model Parameters -- Applying the 2nd-ASAM to Compute the Second-Order Response Sensitivities to Model Parameters -- Role of Second-Order Response Sensitivities for Quantifying Non-Gaussian Features of the Response Uncertainty Distribution -- Illustrative Application of First-Order Response Sensitivities for Predictive Modeling -- APPLICATION OF THE 2nd-ASAM FOR COMPUTING SENSITIVITIES OF DETECTOR RESPONSES TO UNCOLLIDED RADIATION TRANSPORT -- The Ray-Tracing Form of the Forward and Adjoint Boltzmann Transport Equation -- Application of the 2nd-ASAM to Compute the First-Order Response Sensitivities to Variations in Model Parameters -- Application of the 2nd-ASAM to Compute the Second-Order Response Sensitivities to Variations in Model Parameters -- THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) FOR NONLINEAR SYSTEMS -- Mathematical Modeling of a General Nonlinear System -- The 1st-Level Adjoint Sensitivity System (1st-LASS) for Computing Exactly and Efficiently the 1st-Order Sensitivities of Scalar-Valued Responses -- The 2nd-Level Adjoint Sensitivity System (2nd-LASS) for Computing Exactly and Efficiently the 2nd-Order Sensitivities of Scalar-Valued Responses for Nonlinear Systems -- APPLICATION OF THE 2nd-ASAM TO A NONLINEAR HEAT CONDUCTION PROBLEM -- Mathematical Modeling of Heated Cylindrical Test Section -- Application of the 2nd-ASAM for Computing the 1st-Order Sensitivities -- Application of the 2nd-ASAM for Computing the 2nd-Order Sensitivities. |
Record Nr. | UNINA-9910799940103321 |
Cacuci Dan Gabriel | ||
Boca Raton, FL : , : Chapman and Hall/CRC, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The Second-Order Adjoint Sensitivity Analysis Methodology / / by Dan Gabriel Cacuci |
Autore | Cacuci Dan Gabriel |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : Chapman and Hall/CRC, , 2018 |
Descrizione fisica | 1 online resource (327 pages) |
Disciplina | 003/.71 |
Collana | Advances in Applied Mathematics |
Soggetto topico |
Sensitivity theory (Mathematics)
Large scale systems Nonlinear systems |
ISBN |
1-351-64658-3
1-315-12027-5 1-4987-2649-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | MOTIVATION FOR COMPUTING FIRST- AND SECOND-ORDER SENSITIVITIES OF SYSTEM RESPONSES TO THE SYSTEMS PARAMETERS -- The Fundamental Role of Response Sensitivities for Uncertainty Quantification -- The Fundamental Role of Response Sensitivities for Predictive Modeling -- Advantages and Disadvantages of Statistical and Deterministic Methods for Computing Response Sensitivities -- ILLUSTRATIVE APPLICATION OF THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) TO A LINEAR EVOLUTION PROBLEM -- Exact Computation of the 1st-Order Response Sensitivities -- Exact Computation of the 2nd-Order Response Sensitivities -- Computing the 2nd-Order Response Sensitivities Corresponding to the 1st-Order Sensitivities -- Discussion of the Essential Features of the 2nd-ASAM -- Illustrative Use of Response Sensitivities for Predictive Modeling -- THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) FOR LINEAR SYSTEMS -- Mathematical Modeling of a General Linear System -- The 1st-Level Adjoint Sensitivity System (1st-LASS) for Computing Exactly and Efficiently 1st-Order Sensitivities of Scalar-Valued Responses for Linear Systems -- The 2nd-Level Adjoint Sensitivity System (2nd-LASS) for Computing Exactly and Efficiently 1st-Order Sensitivities of Scalar-Valued Responses for Linear Systems -- APPLICATION OF THE 2nd-ASAM TO A LINEAR HEAT CONDUCTION AND CONVECTION BENCHMARK PROBLEM -- Heat Transport Benchmark Problem: Mathematical Modeling -- Computation of First-Order Sensitivities Using the 2nd-ASAM -- Computation of first-order sensitivities of the heated rod temperature -- Computation of first-order sensitivities of the coolant temperature -- Verification of the "ANSYS/FLUENT Adjoint Solver" -- Applying the 2nd-ASAM to Compute the Second-Order Sensitivities and Uncertainties for the Heat Transport Benchmark Problem -- APPLICATION OF THE 2nd-ASAM TO A LINEAR PARTICLE DIFFUSION PROBLEM -- Paradigm Diffusion Problem Description -- Applying the 2nd-ASAM to Compute the First-Order Response Sensitivities to Model Parameters -- Applying the 2nd-ASAM to Compute the Second-Order Response Sensitivities to Model Parameters -- Role of Second-Order Response Sensitivities for Quantifying Non-Gaussian Features of the Response Uncertainty Distribution -- Illustrative Application of First-Order Response Sensitivities for Predictive Modeling -- APPLICATION OF THE 2nd-ASAM FOR COMPUTING SENSITIVITIES OF DETECTOR RESPONSES TO UNCOLLIDED RADIATION TRANSPORT -- The Ray-Tracing Form of the Forward and Adjoint Boltzmann Transport Equation -- Application of the 2nd-ASAM to Compute the First-Order Response Sensitivities to Variations in Model Parameters -- Application of the 2nd-ASAM to Compute the Second-Order Response Sensitivities to Variations in Model Parameters -- THE SECOND-ORDER ADJOINT SENSITIVITY ANALYSIS METHODOLOGY (2nd-ASAM) FOR NONLINEAR SYSTEMS -- Mathematical Modeling of a General Nonlinear System -- The 1st-Level Adjoint Sensitivity System (1st-LASS) for Computing Exactly and Efficiently the 1st-Order Sensitivities of Scalar-Valued Responses -- The 2nd-Level Adjoint Sensitivity System (2nd-LASS) for Computing Exactly and Efficiently the 2nd-Order Sensitivities of Scalar-Valued Responses for Nonlinear Systems -- APPLICATION OF THE 2nd-ASAM TO A NONLINEAR HEAT CONDUCTION PROBLEM -- Mathematical Modeling of Heated Cylindrical Test Section -- Application of the 2nd-ASAM for Computing the 1st-Order Sensitivities -- Application of the 2nd-ASAM for Computing the 2nd-Order Sensitivities. |
Record Nr. | UNINA-9910816749203321 |
Cacuci Dan Gabriel | ||
Boca Raton, FL : , : Chapman and Hall/CRC, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Stability and control of large-scale dynamical systems [[electronic resource] ] : a vector dissipative systems approach / / Wassim M. Haddad, Sergey G. Nersesov |
Autore | Haddad Wassim M. <1961-> |
Edizione | [Course Book] |
Pubbl/distr/stampa | Princeton, N.J., : Princeton University Press, c2011 |
Descrizione fisica | 1 online resource (389 p.) |
Disciplina | 003/.71 |
Altri autori (Persone) | NersesovSergey G. <1976-> |
Collana | Princeton series in applied mathematics |
Soggetto topico |
Lyapunov stability
Energy dissipation Dynamics Large scale systems |
Soggetto genere / forma | Electronic books. |
ISBN |
1-283-37971-6
9786613379719 1-4008-4266-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front matter -- Contents -- Preface -- Chapter One. Introduction -- Chapter Two. Stability Theory via Vector Lyapunov Functions -- Chapter Three. Large-Scale Continuous-Time Interconnected Dynamical Systems -- Chapter Four. Thermodynamic Modeling of Large-Scale Interconnected Systems -- Chapter Five. Control of Large-Scale Dynamical Systems via Vector Lyapunov Functions -- Chapter Six. Finite-Time Stabilization of Large-Scale Systems via Control Vector Lyapunov Functions -- Chapter Seven. Coordination Control for Multiagent Interconnected Systems -- Chapter Eight. Large-Scale Discrete-Time Interconnected Dynamical Systems -- Chapter Nine. Thermodynamic Modeling for Discrete-Time Large-Scale Dynamical Systems -- Chapter Ten. Large-Scale Impulsive Dynamical Systems -- Chapter Eleven. Control Vector Lyapunov Functions for Large-Scale Impulsive Systems -- Chapter Twelve. Finite-Time Stabilization of Large-Scale Impulsive Dynamical Systems -- Chapter Thirteen. Hybrid Decentralized Maximum Entropy Control for Large-Scale Systems -- Chapter Fourteen. Conclusion -- Bibliography -- Index -- Backmatter |
Record Nr. | UNINA-9910461835503321 |
Haddad Wassim M. <1961-> | ||
Princeton, N.J., : Princeton University Press, c2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Stability and control of large-scale dynamical systems [[electronic resource] ] : a vector dissipative systems approach / / Wassim M. Haddad, Sergey G. Nersesov |
Autore | Haddad Wassim M. <1961-> |
Edizione | [Course Book] |
Pubbl/distr/stampa | Princeton, N.J., : Princeton University Press, c2011 |
Descrizione fisica | 1 online resource (389 p.) |
Disciplina | 003/.71 |
Altri autori (Persone) | NersesovSergey G. <1976-> |
Collana | Princeton series in applied mathematics |
Soggetto topico |
Lyapunov stability
Energy dissipation Dynamics Large scale systems |
Soggetto non controllato |
Clausius-type inequality
KalmanЙakubovichАopov conditions KalmanЙakubovichАopov equations KrasovskiiЌaSalle theorem asymptotic stabilizability combustion processes comparison system compartmental dynamical system theory compartmental dynamical system control Lyapunov function control design control signal control vector Lyapunov function convergence coordination control decentralized affine decentralized control decentralized controller decentralized finite-time stabilizer discrete-time dynamical system dissipativity theory dynamical system ectropy energy conservation energy dissipation energy equipartition energy flow entropy feedback control law feedback interconnection stability feedback stabilizer finite-time stability finite-time stabilization gain margin hybrid closed-loop system hybrid decentralized controller hybrid dynamic controller hybrid finite-time stabilizing controller hybrid vector comparison system hybrid vector dissipation inequality impulsive differential equations impulsive dynamical system interconnected dynamical system large-scale dynamical system law of thermodynamics linear energy exchange maximum entropy control multiagent interconnected system multiagent systems multivehicle coordinated motion control nonconservation of ectropy nonconservation of entropy nonlinear dynamical system optimality plant energy scalar Lyapunov function sector margin semistable dissipation matrix stability analysis stability theory stability state space subsystem decomposition subsystem energy thermoacoustic instabilities thermodynamic modeling time-invariant set time-varying set vector Lyapunov function vector available storage vector comparison system vector dissipation inequality vector dissipative system vector dissipativity theory vector dissipativity vector field vector hybrid supply rate vector lossless system vector required supply vector storage function vector supply rate |
ISBN |
1-283-37971-6
9786613379719 1-4008-4266-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front matter -- Contents -- Preface -- Chapter One. Introduction -- Chapter Two. Stability Theory via Vector Lyapunov Functions -- Chapter Three. Large-Scale Continuous-Time Interconnected Dynamical Systems -- Chapter Four. Thermodynamic Modeling of Large-Scale Interconnected Systems -- Chapter Five. Control of Large-Scale Dynamical Systems via Vector Lyapunov Functions -- Chapter Six. Finite-Time Stabilization of Large-Scale Systems via Control Vector Lyapunov Functions -- Chapter Seven. Coordination Control for Multiagent Interconnected Systems -- Chapter Eight. Large-Scale Discrete-Time Interconnected Dynamical Systems -- Chapter Nine. Thermodynamic Modeling for Discrete-Time Large-Scale Dynamical Systems -- Chapter Ten. Large-Scale Impulsive Dynamical Systems -- Chapter Eleven. Control Vector Lyapunov Functions for Large-Scale Impulsive Systems -- Chapter Twelve. Finite-Time Stabilization of Large-Scale Impulsive Dynamical Systems -- Chapter Thirteen. Hybrid Decentralized Maximum Entropy Control for Large-Scale Systems -- Chapter Fourteen. Conclusion -- Bibliography -- Index -- Backmatter |
Record Nr. | UNINA-9910789737003321 |
Haddad Wassim M. <1961-> | ||
Princeton, N.J., : Princeton University Press, c2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Stability and control of large-scale dynamical systems : a vector dissipative systems approach / / Wassim M. Haddad, Sergey G. Nersesov |
Autore | Haddad Wassim M. <1961-> |
Edizione | [Course Book] |
Pubbl/distr/stampa | Princeton, N.J., : Princeton University Press, c2011 |
Descrizione fisica | 1 online resource (389 p.) |
Disciplina | 003/.71 |
Altri autori (Persone) | NersesovSergey G. <1976-> |
Collana | Princeton series in applied mathematics |
Soggetto topico |
Lyapunov stability
Energy dissipation Dynamics Large scale systems |
Soggetto non controllato |
Clausius-type inequality
KalmanЙakubovichАopov conditions KalmanЙakubovichАopov equations KrasovskiiЌaSalle theorem asymptotic stabilizability combustion processes comparison system compartmental dynamical system theory compartmental dynamical system control Lyapunov function control design control signal control vector Lyapunov function convergence coordination control decentralized affine decentralized control decentralized controller decentralized finite-time stabilizer discrete-time dynamical system dissipativity theory dynamical system ectropy energy conservation energy dissipation energy equipartition energy flow entropy feedback control law feedback interconnection stability feedback stabilizer finite-time stability finite-time stabilization gain margin hybrid closed-loop system hybrid decentralized controller hybrid dynamic controller hybrid finite-time stabilizing controller hybrid vector comparison system hybrid vector dissipation inequality impulsive differential equations impulsive dynamical system interconnected dynamical system large-scale dynamical system law of thermodynamics linear energy exchange maximum entropy control multiagent interconnected system multiagent systems multivehicle coordinated motion control nonconservation of ectropy nonconservation of entropy nonlinear dynamical system optimality plant energy scalar Lyapunov function sector margin semistable dissipation matrix stability analysis stability theory stability state space subsystem decomposition subsystem energy thermoacoustic instabilities thermodynamic modeling time-invariant set time-varying set vector Lyapunov function vector available storage vector comparison system vector dissipation inequality vector dissipative system vector dissipativity theory vector dissipativity vector field vector hybrid supply rate vector lossless system vector required supply vector storage function vector supply rate |
ISBN |
1-283-37971-6
9786613379719 1-4008-4266-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front matter -- Contents -- Preface -- Chapter One. Introduction -- Chapter Two. Stability Theory via Vector Lyapunov Functions -- Chapter Three. Large-Scale Continuous-Time Interconnected Dynamical Systems -- Chapter Four. Thermodynamic Modeling of Large-Scale Interconnected Systems -- Chapter Five. Control of Large-Scale Dynamical Systems via Vector Lyapunov Functions -- Chapter Six. Finite-Time Stabilization of Large-Scale Systems via Control Vector Lyapunov Functions -- Chapter Seven. Coordination Control for Multiagent Interconnected Systems -- Chapter Eight. Large-Scale Discrete-Time Interconnected Dynamical Systems -- Chapter Nine. Thermodynamic Modeling for Discrete-Time Large-Scale Dynamical Systems -- Chapter Ten. Large-Scale Impulsive Dynamical Systems -- Chapter Eleven. Control Vector Lyapunov Functions for Large-Scale Impulsive Systems -- Chapter Twelve. Finite-Time Stabilization of Large-Scale Impulsive Dynamical Systems -- Chapter Thirteen. Hybrid Decentralized Maximum Entropy Control for Large-Scale Systems -- Chapter Fourteen. Conclusion -- Bibliography -- Index -- Backmatter |
Record Nr. | UNINA-9910815790903321 |
Haddad Wassim M. <1961-> | ||
Princeton, N.J., : Princeton University Press, c2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Transactions on Large-Scale Data- and Knowledge-Centered Systems VI [[electronic resource] ] : Special Issue on Database- and Expert-Systems Applications / / edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Stephen W. Liddle, Klaus-Dieter Schewe, Xiaofang Zhou |
Edizione | [1st ed. 2012.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
Descrizione fisica | 1 online resource (XII, 259 p. 113 illus.) |
Disciplina | 003/.71 |
Collana | Transactions on Large-Scale Data- and Knowledge-Centered Systems |
Soggetto topico |
Database management
Data mining Artificial intelligence Data structures (Computer science) Computer simulation Information storage and retrieval Database Management Data Mining and Knowledge Discovery Artificial Intelligence Data Storage Representation Simulation and Modeling Information Storage and Retrieval |
ISBN | 3-642-34179-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Combination Skyline Queries -- Comparing and Evaluating Approaches to Probabilistic Reasoning: Theory, Implementation, and Applications -- The Science and Art of Conceptual Modelling -- Predictive Line Queries for Traffic Prediction -- A DHT-Based System for the Management of Loosely Structured, Multidimensional Data -- A Grammarware for the Incremental Validation of Integrity Constraints on XML Documents under Multiple Updates -- Database Support for Enabling Data-Discovery Queries over Semantically-Annotated Observational Data -- Probabilistically Ranking Web Article Quality Based on Evolution Patterns. |
Record Nr. | UNISA-996466186603316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|