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Control system design : an introduction to state-space methods / / Bernard Friedland
Control system design : an introduction to state-space methods / / Bernard Friedland
Autore Friedland Bernard
Edizione [Dover edition.]
Pubbl/distr/stampa Mineola, New York : , : Dover Publications, Inc., , 2005
Descrizione fisica 1 online resource (1007 pages)
Disciplina 629.8
Soggetto topico Automatic control
Control theory
System design
State-space methods
Control automàtic
Control, Teoria de
Disseny de sistemes
Espai d'estats, Mètodes de l'
ISBN 9780486135113
0-486-13511-X
1-62198-607-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright Page; Dedication; Contents; Preface; Chapter 1 Feedback Control; 1.1 The Mechanism of Feedback; 1.2 Feedback Control Engineering; 1.3 Control Theory Background; 1.4 Scope and Organization of This Book; Notes; References; Chapter 2 State-Space Representation of Dynamic Systems; 2.1 Mathematical Models; 2.2 Physical Notion of System State; 2.3 Block-Diagram Representations; 2.4 Lagrange's Equations; 2.5 Rigid Body Dynamics; 2.6 Aerodynamics; 2.7 Chemical and Energy Processes; Problems; Notes; References; Chapter 3 Dynamics of Linear Systems
3.1 Differential Equations Revisited3.2 Solution of Linear Differential Equations in State-Space Form; 3.3 Interpretation and Properties of the State-Transition Matrix; 3.4 Solution by the Laplace Transform: The Resolvent; 3.5 Input-Output Relations: Transfer Functions; 3.6 Transformation of State Variables; 3.7 State-Space Representation of Transfer Functions: Canonical Forms; Problems; Notes; References; Chapter 4 Frequency-Domain Analysis; 4.1 Status of Frequency-Domain Methods; 4.2 Frequency-Domain Characterization of Dynamic Behavior; 4.3 Block-Diagram Algebra; 4.4 Stability
4.5 Routh-Hurwitz Stability Algorithms4.6 Graphical Methods; 4.7 Steady State Responses: System Type; 4.8 Dynamic Response: Bandwidth; 4.9 Robustness and Stability (Gain and Phase) Margins; 4.10 ultivariable Systems: Nyquist Diagram and Singular Values; Problems; Notes; References; Chapter 5 Controllability and Observability; 5.1 Introduction; 5.2 Where Do Uncontrollable or Unobservable Systems Arise?; 5.3 Definitions and Conditions for Controllability and Observability; 5.4 Algebraic Conditions for Controllability and Observability; 5.5 Disturbances and Tracking Systems: Exogenous Variables
ProblemsNotes; References; Chapter 6 Shaping the Dynamic Response; 6.1 Introduction; 6.2 Design of Regulators for Single-Input, Single-Output Systems; 6.3 Multiple-Input Systems; 6.4 Disturbances and Tracking Systems: Exogenous Variables; 6.5 Where Should the Closed-Loop Poles Be Placed?; Problems; Notes; References; Chapter 7 Linear Observers; 7.1 The Need for Observers; 7.2 Structure and Properties of Observers; 7.3 Pole-Placement for Single-Output Systems; 7.4 Disturbances and Tracking Systems: Exogenous Variables; 7.5 Reduced-Order Observers; Problems; Notes; References
Chapter 8 Compensator Design by the Separation Principle8.1 The Separation Principle; 8.2 Compensators Designed Using Full-Order Observers; 8.3 Reduced-Order Observers; 8.4 Robustness: Effects of Modeling Errors; 8.5 Disturbances and Tracking Systems: Exogenous Variables; 8.6 Selecting Observer Dynamics: Robust Observers; 8.7 Summary of Design Process; Problems; Notes; References; Chapter 9 Linear, Quadratic Optimum Control; 9.1 Why Optimum Control?; 9.2 Formulation of the Optimum Control Problem; 9.3 Quadratic Integrals and Matrix Differential Equations; 9.4 The Optimum Gain Matrix
9.5 The Steady State Solution
Record Nr. UNINA-9911004740903321
Friedland Bernard  
Mineola, New York : , : Dover Publications, Inc., , 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Identifiability of state space models : with applications to transformation systems / Eric Walter
Identifiability of state space models : with applications to transformation systems / Eric Walter
Autore Walter, Eric
Pubbl/distr/stampa Berlin : Springer-Verlag, 1982
Descrizione fisica viii, 202 p. : ill. ; 25 cm
Disciplina 515
Collana Lecture notes in biomathematics, 0341-633X ; 46
Soggetto topico Biomathematics
Inverse problems
State-space methods
System identification
ISBN 3540115900
Classificazione AMS 93B30
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000989929707536
Walter, Eric  
Berlin : Springer-Verlag, 1982
Materiale a stampa
Lo trovi qui: Univ. del Salento
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An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman
An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman
Autore Commandeur Jacques J. F
Pubbl/distr/stampa Oxford, : Oxford University Press, 2007
Descrizione fisica 1 online resource (189 p.)
Disciplina 519.55
Altri autori (Persone) KoopmanS. J (Siem Jan)
Collana Practical econometrics series
Soggetto topico State-space methods
Time-series analysis
Soggetto genere / forma Electronic books.
ISBN 1-281-15017-7
9786611150174
0-19-152794-7
1-4356-1809-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; List of Figures; List of Tables; 1. Introduction; 2. The local level model; 3. The local linear trend model; 4. The local level model with seasonal; 5. The local level model with explanatory variable; 6. The local level model with intervention variable; 7. The UK seat belt and inflation models; 8. General treatment of univariate state space models; 9. Multivariate time series analysis*; 10. State space and Box-Jenkins methods for time series analysis; 11. State space modelling in practice; 12. Conclusions; APPENDIX A. UK drivers KSI and petrol price
APPENDIX B. Road traffic fatalities in Norway and FinlandAPPENDIX C. UK front and rear seat passengers KSI; APPENDIX D. UK price changes; Bibliography; Index
Record Nr. UNINA-9910451915103321
Commandeur Jacques J. F  
Oxford, : Oxford University Press, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman
An introduction to state space time series analysis [[electronic resource] /] / Jacques J.F. Commandeur, Siem Jan Koopman
Autore Commandeur Jacques J. F
Pubbl/distr/stampa Oxford, : Oxford University Press, 2007
Descrizione fisica 1 online resource (189 p.)
Disciplina 519.55
Altri autori (Persone) KoopmanS. J (Siem Jan)
Collana Practical econometrics series
Soggetto topico State-space methods
Time-series analysis
ISBN 0-19-160780-0
1-281-15017-7
9786611150174
0-19-152794-7
1-4356-1809-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; List of Figures; List of Tables; 1. Introduction; 2. The local level model; 3. The local linear trend model; 4. The local level model with seasonal; 5. The local level model with explanatory variable; 6. The local level model with intervention variable; 7. The UK seat belt and inflation models; 8. General treatment of univariate state space models; 9. Multivariate time series analysis*; 10. State space and Box-Jenkins methods for time series analysis; 11. State space modelling in practice; 12. Conclusions; APPENDIX A. UK drivers KSI and petrol price
APPENDIX B. Road traffic fatalities in Norway and FinlandAPPENDIX C. UK front and rear seat passengers KSI; APPENDIX D. UK price changes; Bibliography; Index
Record Nr. UNINA-9910778345803321
Commandeur Jacques J. F  
Oxford, : Oxford University Press, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
An introduction to state space time series analysis / / Jacques J.F. Commandeur, Siem Jan Koopman
An introduction to state space time series analysis / / Jacques J.F. Commandeur, Siem Jan Koopman
Autore Commandeur Jacques J. F
Edizione [1st ed.]
Pubbl/distr/stampa Oxford, : Oxford University Press, 2007
Descrizione fisica 1 online resource (189 p.)
Disciplina 519.55
Altri autori (Persone) KoopmanS. J (Siem Jan)
Collana Practical econometrics series
Soggetto topico State-space methods
Time-series analysis
ISBN 0-19-160780-0
1-281-15017-7
9786611150174
0-19-152794-7
1-4356-1809-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; List of Figures; List of Tables; 1. Introduction; 2. The local level model; 3. The local linear trend model; 4. The local level model with seasonal; 5. The local level model with explanatory variable; 6. The local level model with intervention variable; 7. The UK seat belt and inflation models; 8. General treatment of univariate state space models; 9. Multivariate time series analysis*; 10. State space and Box-Jenkins methods for time series analysis; 11. State space modelling in practice; 12. Conclusions; APPENDIX A. UK drivers KSI and petrol price
APPENDIX B. Road traffic fatalities in Norway and FinlandAPPENDIX C. UK front and rear seat passengers KSI; APPENDIX D. UK price changes; Bibliography; Index
Record Nr. UNINA-9910971230303321
Commandeur Jacques J. F  
Oxford, : Oxford University Press, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Linear state-space control systems
Linear state-space control systems
Autore Williams Robert L
Pubbl/distr/stampa [Place of publication not identified], : John Wiley & Sons, 2007
Disciplina 629.8/32
Soggetto topico Linear systems
State-space methods
Control theory
Operations Research
Civil & Environmental Engineering
Engineering & Applied Sciences
ISBN 0-470-11787-7
Classificazione 30.10
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910144584603321
Williams Robert L  
[Place of publication not identified], : John Wiley & Sons, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Linear state-space control systems
Linear state-space control systems
Autore Williams Robert L
Pubbl/distr/stampa [Place of publication not identified], : John Wiley & Sons, 2007
Disciplina 629.8/32
Soggetto topico Linear systems
State-space methods
Control theory
Operations Research
Civil & Environmental Engineering
Engineering & Applied Sciences
ISBN 0-470-11787-7
Classificazione 30.10
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910830150803321
Williams Robert L  
[Place of publication not identified], : John Wiley & Sons, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Linear state-space control systems
Linear state-space control systems
Autore Williams Robert L
Pubbl/distr/stampa [Place of publication not identified], : John Wiley & Sons, 2007
Disciplina 629.8/32
Soggetto topico Linear systems
State-space methods
Control theory
Operations Research
Civil & Environmental Engineering
Engineering & Applied Sciences
ISBN 0-470-11787-7
Classificazione 30.10
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9911019465703321
Williams Robert L  
[Place of publication not identified], : John Wiley & Sons, 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer
Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer
Autore Shelhamer Mark
Pubbl/distr/stampa Singapore ; ; Hackensack, NJ, : World Scientific, c2007
Descrizione fisica 1 online resource (367 p.)
Disciplina 515.252
571.01/5118
571.015118
Soggetto topico Physiology - Mathematical models
Nonlinear systems
State-space methods
Soggetto genere / forma Electronic books.
ISBN 1-281-92446-6
9786611924461
981-277-279-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; 1. The mathematical analysis of physiological systems: goals and approaches; 1.1 The goals of mathematical analysis in physiology; 1.2 Outline of dynamic systems; 1.3 Types of dynamic systems - random, deterministic, linear, nonlinear; 1.4 Types of dynamic behaviors - random, fixed point, periodic, quasi-periodic, chaotic; 1.5 Follow the ""noise""; 1.6 Chaos and physiology; General Bibliography; References for Chapter 1; 2. Fundamental signal processing and analysis concepts and measures; 2.1 Sampled data and continuous distributions; 2.2 Basic statistics
2.3 Correlation coefficient2.4 Linear regression, least-squares, squared-error; 2.5 Random processes, white noise, correlated noise; 2.6 Autocorrelation; 2.7 Concluding remarks; References for Chapter 2; 3. Analysis approaches based on linear systems; 3.1 Definition and properties of linear systems; 3.2 Autocorrelation, cross-correlation, stationarity; 3.3 Fourier transforms and spectral analysis; 3.4 Examples of autocorrelations and frequency spectra; 3.5 Transfer functions of linear systems, Gaussian statistics; References for Chapter 3; 4. State-space reconstruction
4.1 State variables, state space4.2 Time-delay reconstruction; 4.3 A digression on topology; 4.4 How to do the reconstruction correctly; 4.5 Example: detection of fast-phase eye movements; 4.6 Historical notes, examples from the literature; 4.7 Points for further consideration; References for Chapter 4; 5. Dimensions; 5.1 Euclidean dimension and topological dimension; 5.2 Dimension as a scaling process - coastline length, Mandelbrot, fractals, Cantor, Koch; 5.3 Box-counting dimension and correlation dimension; 5.4 Correlation dimension - how to measure it correctly
5.5 Error bars on dimension estimates5.6 Interpretation of the dimension; 5.7 Tracking dimension overtime; 5.8 Examples; 5.9 Points for further consideration; References for Chapter 5; 6. Surrogate data; 6.1 The need for surrogates; 6.2 Statistical hypothesis testing; 6.3 Statistical randomization and its implementation; 6.4 Random surrogates; 6.5 Phase-randomization surrogate; 6.6 AAFT surrogate; 6.7 Pseudo-periodic surrogate; 6.8 First differences and surrogates; 6.9 Multivariate surrogates; 6.10 Surrogates tailored to specific physiological hypotheses; 6.11 Examples of different surrogates
6.12 Physiological examplesReferences for Chapter 6; 7. Nonlinear forecasting; 7.1 Predictability of prototypical systems; 7.2 Methodology; 7.3 Variations; 7.4 Surrogates, global linear forecasting; 7.5 Time-reversal and amplitude-reversal for detection of nonlinearity; 7.6 Chaos versus colored noise; 7.7 Forecasting of neural spike trains and other discrete events; 7.8 Examples; References for Chapter 7; 8. Recurrence analysis; 8.1 Concept and methodology; 8.2 Recurrence plots of simple systems; 8.3 Recurrence quantification analysis (RQA); 8.4 Extensions; 8.5 Examples
References for Chapter 8
Record Nr. UNINA-9910453180103321
Shelhamer Mark  
Singapore ; ; Hackensack, NJ, : World Scientific, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer
Nonlinear dynamics in physiology [[electronic resource] ] : a state-space approach / / Mark Shelhamer
Autore Shelhamer Mark
Pubbl/distr/stampa Singapore ; ; Hackensack, NJ, : World Scientific, c2007
Descrizione fisica 1 online resource (367 p.)
Disciplina 515.252
571.01/5118
571.015118
Soggetto topico Physiology - Mathematical models
Nonlinear systems
State-space methods
ISBN 1-281-92446-6
9786611924461
981-277-279-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; 1. The mathematical analysis of physiological systems: goals and approaches; 1.1 The goals of mathematical analysis in physiology; 1.2 Outline of dynamic systems; 1.3 Types of dynamic systems - random, deterministic, linear, nonlinear; 1.4 Types of dynamic behaviors - random, fixed point, periodic, quasi-periodic, chaotic; 1.5 Follow the ""noise""; 1.6 Chaos and physiology; General Bibliography; References for Chapter 1; 2. Fundamental signal processing and analysis concepts and measures; 2.1 Sampled data and continuous distributions; 2.2 Basic statistics
2.3 Correlation coefficient2.4 Linear regression, least-squares, squared-error; 2.5 Random processes, white noise, correlated noise; 2.6 Autocorrelation; 2.7 Concluding remarks; References for Chapter 2; 3. Analysis approaches based on linear systems; 3.1 Definition and properties of linear systems; 3.2 Autocorrelation, cross-correlation, stationarity; 3.3 Fourier transforms and spectral analysis; 3.4 Examples of autocorrelations and frequency spectra; 3.5 Transfer functions of linear systems, Gaussian statistics; References for Chapter 3; 4. State-space reconstruction
4.1 State variables, state space4.2 Time-delay reconstruction; 4.3 A digression on topology; 4.4 How to do the reconstruction correctly; 4.5 Example: detection of fast-phase eye movements; 4.6 Historical notes, examples from the literature; 4.7 Points for further consideration; References for Chapter 4; 5. Dimensions; 5.1 Euclidean dimension and topological dimension; 5.2 Dimension as a scaling process - coastline length, Mandelbrot, fractals, Cantor, Koch; 5.3 Box-counting dimension and correlation dimension; 5.4 Correlation dimension - how to measure it correctly
5.5 Error bars on dimension estimates5.6 Interpretation of the dimension; 5.7 Tracking dimension overtime; 5.8 Examples; 5.9 Points for further consideration; References for Chapter 5; 6. Surrogate data; 6.1 The need for surrogates; 6.2 Statistical hypothesis testing; 6.3 Statistical randomization and its implementation; 6.4 Random surrogates; 6.5 Phase-randomization surrogate; 6.6 AAFT surrogate; 6.7 Pseudo-periodic surrogate; 6.8 First differences and surrogates; 6.9 Multivariate surrogates; 6.10 Surrogates tailored to specific physiological hypotheses; 6.11 Examples of different surrogates
6.12 Physiological examplesReferences for Chapter 6; 7. Nonlinear forecasting; 7.1 Predictability of prototypical systems; 7.2 Methodology; 7.3 Variations; 7.4 Surrogates, global linear forecasting; 7.5 Time-reversal and amplitude-reversal for detection of nonlinearity; 7.6 Chaos versus colored noise; 7.7 Forecasting of neural spike trains and other discrete events; 7.8 Examples; References for Chapter 7; 8. Recurrence analysis; 8.1 Concept and methodology; 8.2 Recurrence plots of simple systems; 8.3 Recurrence quantification analysis (RQA); 8.4 Extensions; 8.5 Examples
References for Chapter 8
Record Nr. UNINA-9910782346103321
Shelhamer Mark  
Singapore ; ; Hackensack, NJ, : World Scientific, c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui