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Two-degree-of-freedom control systems : the Youla Parameterization approach / / Lászlo Kevickzy and Csilla Bányász
| Two-degree-of-freedom control systems : the Youla Parameterization approach / / Lászlo Kevickzy and Csilla Bányász |
| Autore | Kevickzy Lászlo |
| Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : Academic Press, , 2015 |
| Descrizione fisica | 1 online resource (537 p.) |
| Disciplina | 629.83 |
| Soggetto topico |
Feedback control systems
Automatic control Automatic control - Mathematical models |
| ISBN | 0-12-803346-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; TWO-DEGREE-OF-FREEDOM CONTROL SYSTEMS; Copyright; DEDICATION; THE BEST STUDENTS; THE CLOSEST COWORKERS; NOTATION; ABBREVIATIONS; CONTENTS; PREFACE; Chapter 1 - Introduction; 1.1 PROCESS MODELS; 1.2 CLOSED-LOOP CONTROL; 1.3 STABILITY OF THE CLOSED-LOOP CONTROL; 1.4 PARAMETERIZATION OF THE CLOSED-LOOP CONTROL; Chapter 2 - Control of Stable Processes; 2.1 REGULATORS BASED ON YP; 2.2 OTHER CLASSICAL PARAMETERIZED REGULATORS; 2.3 DEADBEAT REGULATORS; 2.4 PREDICTIVE REGULATORS; Chapter 3 - Feedback Regulators; POLE PLACEMENT WITH POLE CANCELLATION
POLE PLACEMENT WITH FEEDBACK REGULATORPOLE PLACEMENT WITH CHARACTERISTIC POLYNOMIAL DESIGN; 3.1 CONTROL LOOPS WITH STATE FEEDBACK; 3.2 STATE FEEDBACK LINEAR QUADRATIC (LQ) REGULATORS; 3.3 GENERAL POLYNOMIAL METHOD FOR REGULATOR DESIGN; Chapter 4 - Concept of the Best Achievable Control; DECOMPOSITION OF SENSITIVITY FUNCTION; DECOMPOSITION OF SENSITIVITY FUNCTION FOR YP REGULATORS; DIRECT OPTIMIZATION OF SENSITIVITY FUNCTION; SPECIAL METHODS; EMPIRICAL RELATIONSHIPS; 4.1 OPTIMIZATION OF DESIGN LOSS; 4.2 OPTIMIZATION OF REALIZABILITY LOSS; 4.3 OPTIMIZATION OF MODELING LOSS Chapter 5 - Conventional PID RegulatorSECOND-ORDER CT PROCESS WITH DEAD-TIME; OBSERVER-BASED PID REGULATOR; Chapter 6 - Control of Stochastic Processes; MINIMUM VARIANCE (MV) REGULATOR; GENERALIZED MINIMUM VARIANCE REGULATOR; PREDICTION OF DETERMINISTIC SIGNALS; PREDICTION OF STOCHASTIC SIGNALS; Chapter 7 - Control of Multivariable Processes; YOULA-PARAMETERIZED MIMO CLOSED-LOOP CONTROL; YOULA-PARAMETERIZED MIMO REGULATOR FOR THE ``NAIVE'' PROCESS MODEL; CONTROL OF INVERSE STABLE MIMO PROCESS MODELS; DECOUPLING CONTROL OF MIMO PROCESS MODELS DECOUPLING CONTROL USING YOULA-PARAMETERIZED MIMO REGULATORSDECOUPLING EXAMPLES; MIMO PROCESS MODELS LINEAR IN PARAMETER MATRICES; MIMO PREDICTIVE REGULATORS; MIMO MINIMUM VARIANCE (MV) REGULATOR; Chapter 8 - Control of Nonlinear Cascade Processes; SIMPLE NONLINEAR CASCADE MODELS; NONLINEAR PROPORTIONAL-INTEGRAL-DERIVATIVE (PID) REGULATOR FOR NONLINEAR CASCADE MODELS; Chapter 9 - Robust Control; 9.1 ROBUSTNESS OF YOULA-PARAMETERIZED REGULATOR; 9.2 LIMITS OF REGULATOR ROBUSTNESS; 9.3 GAP METRICS; 9.4 DIALECTIC BETWEEN PERFORMANCE AND ROBUSTNESS; 9.5 PRODUCT INEQUALITIES Chapter 10 - Process IdentificationTYPES OF MODELS; MODEL VALIDATION; PARAMETER ESTIMATION; 10.1 OFF-LINE PROCESS IDENTIFICATION METHODS; 10.2 RECURSIVE PROCESS IDENTIFICATION METHODS; 10.3 PROCESS IDENTIFICATION IN CLOSED-LOOP CONTROL; Chapter 11 - Adaptive Regulators and Iterative Tuning; 11.1 ALGORITHMS OF ADAPTIVE LEARNING METHODS; 11.2 ITERATIVE METHODS: SIMULTANEOUS IDENTIFICATION AND CONTROL; 11.3 TRIPLE CONTROL; Appendix 1 - Mathematical Summary; A.1.1 SOME BASIC THEOREMS OF MATRIX ALGEBRA; A.1.2 FOUNDATIONS OF VECTOR ANALYSIS; A.1.3 KRONECKER PRODUCT OF MATRICES A.1.4 TOEPLITZ MATRICES |
| Record Nr. | UNINA-9910797231403321 |
Kevickzy Lászlo
|
||
| Amsterdam, [Netherlands] : , : Academic Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Two-degree-of-freedom control systems : the Youla Parameterization approach / / Lászlo Kevickzy and Csilla Bányász
| Two-degree-of-freedom control systems : the Youla Parameterization approach / / Lászlo Kevickzy and Csilla Bányász |
| Autore | Kevickzy Lászlo |
| Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : Academic Press, , 2015 |
| Descrizione fisica | 1 online resource (537 p.) |
| Disciplina | 629.83 |
| Soggetto topico |
Feedback control systems
Automatic control Automatic control - Mathematical models |
| ISBN | 0-12-803346-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; TWO-DEGREE-OF-FREEDOM CONTROL SYSTEMS; Copyright; DEDICATION; THE BEST STUDENTS; THE CLOSEST COWORKERS; NOTATION; ABBREVIATIONS; CONTENTS; PREFACE; Chapter 1 - Introduction; 1.1 PROCESS MODELS; 1.2 CLOSED-LOOP CONTROL; 1.3 STABILITY OF THE CLOSED-LOOP CONTROL; 1.4 PARAMETERIZATION OF THE CLOSED-LOOP CONTROL; Chapter 2 - Control of Stable Processes; 2.1 REGULATORS BASED ON YP; 2.2 OTHER CLASSICAL PARAMETERIZED REGULATORS; 2.3 DEADBEAT REGULATORS; 2.4 PREDICTIVE REGULATORS; Chapter 3 - Feedback Regulators; POLE PLACEMENT WITH POLE CANCELLATION
POLE PLACEMENT WITH FEEDBACK REGULATORPOLE PLACEMENT WITH CHARACTERISTIC POLYNOMIAL DESIGN; 3.1 CONTROL LOOPS WITH STATE FEEDBACK; 3.2 STATE FEEDBACK LINEAR QUADRATIC (LQ) REGULATORS; 3.3 GENERAL POLYNOMIAL METHOD FOR REGULATOR DESIGN; Chapter 4 - Concept of the Best Achievable Control; DECOMPOSITION OF SENSITIVITY FUNCTION; DECOMPOSITION OF SENSITIVITY FUNCTION FOR YP REGULATORS; DIRECT OPTIMIZATION OF SENSITIVITY FUNCTION; SPECIAL METHODS; EMPIRICAL RELATIONSHIPS; 4.1 OPTIMIZATION OF DESIGN LOSS; 4.2 OPTIMIZATION OF REALIZABILITY LOSS; 4.3 OPTIMIZATION OF MODELING LOSS Chapter 5 - Conventional PID RegulatorSECOND-ORDER CT PROCESS WITH DEAD-TIME; OBSERVER-BASED PID REGULATOR; Chapter 6 - Control of Stochastic Processes; MINIMUM VARIANCE (MV) REGULATOR; GENERALIZED MINIMUM VARIANCE REGULATOR; PREDICTION OF DETERMINISTIC SIGNALS; PREDICTION OF STOCHASTIC SIGNALS; Chapter 7 - Control of Multivariable Processes; YOULA-PARAMETERIZED MIMO CLOSED-LOOP CONTROL; YOULA-PARAMETERIZED MIMO REGULATOR FOR THE ``NAIVE'' PROCESS MODEL; CONTROL OF INVERSE STABLE MIMO PROCESS MODELS; DECOUPLING CONTROL OF MIMO PROCESS MODELS DECOUPLING CONTROL USING YOULA-PARAMETERIZED MIMO REGULATORSDECOUPLING EXAMPLES; MIMO PROCESS MODELS LINEAR IN PARAMETER MATRICES; MIMO PREDICTIVE REGULATORS; MIMO MINIMUM VARIANCE (MV) REGULATOR; Chapter 8 - Control of Nonlinear Cascade Processes; SIMPLE NONLINEAR CASCADE MODELS; NONLINEAR PROPORTIONAL-INTEGRAL-DERIVATIVE (PID) REGULATOR FOR NONLINEAR CASCADE MODELS; Chapter 9 - Robust Control; 9.1 ROBUSTNESS OF YOULA-PARAMETERIZED REGULATOR; 9.2 LIMITS OF REGULATOR ROBUSTNESS; 9.3 GAP METRICS; 9.4 DIALECTIC BETWEEN PERFORMANCE AND ROBUSTNESS; 9.5 PRODUCT INEQUALITIES Chapter 10 - Process IdentificationTYPES OF MODELS; MODEL VALIDATION; PARAMETER ESTIMATION; 10.1 OFF-LINE PROCESS IDENTIFICATION METHODS; 10.2 RECURSIVE PROCESS IDENTIFICATION METHODS; 10.3 PROCESS IDENTIFICATION IN CLOSED-LOOP CONTROL; Chapter 11 - Adaptive Regulators and Iterative Tuning; 11.1 ALGORITHMS OF ADAPTIVE LEARNING METHODS; 11.2 ITERATIVE METHODS: SIMULTANEOUS IDENTIFICATION AND CONTROL; 11.3 TRIPLE CONTROL; Appendix 1 - Mathematical Summary; A.1.1 SOME BASIC THEOREMS OF MATRIX ALGEBRA; A.1.2 FOUNDATIONS OF VECTOR ANALYSIS; A.1.3 KRONECKER PRODUCT OF MATRICES A.1.4 TOEPLITZ MATRICES |
| Record Nr. | UNINA-9910826029403321 |
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Kevickzy Lászlo
|
||
| Amsterdam, [Netherlands] : , : Academic Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||