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The Second-Order Adjoint Sensitivity Analysis Methodology / / by Dan Gabriel Cacuci
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
Opac: Controlla la disponibilità qui
The Second-Order Adjoint Sensitivity Analysis Methodology / / by Dan Gabriel Cacuci
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
Opac: Controlla la disponibilità qui
The Second-Order Adjoint Sensitivity Analysis Methodology / / by Dan Gabriel Cacuci
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
Opac: Controlla la disponibilità qui
The Second-Order Adjoint Sensitivity Analysis Methodology / / by Dan Gabriel Cacuci
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
Opac: Controlla la disponibilità qui
Stability and control of large-scale dynamical systems [[electronic resource] ] : a vector dissipative systems approach / / Wassim M. Haddad, Sergey G. Nersesov
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
Opac: Controlla la disponibilità qui
Stability and control of large-scale dynamical systems [[electronic resource] ] : a vector dissipative systems approach / / Wassim M. Haddad, Sergey G. Nersesov
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
Opac: Controlla la disponibilità qui
Stability and control of large-scale dynamical systems : a vector dissipative systems approach / / Wassim M. Haddad, Sergey G. Nersesov
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
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui