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Adaptive Control Design and Analysis

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ISBN-10: 0471274526

ISBN-13: 9780471274520

Edition: 2003

Authors: Gang Tao

List price: $214.95
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Adaptive control can alter a process based on feedback from its environment. This allows manufacturing and computing applications to change to meet the demands of the customer or client. This book analyses some common and powerful adaptive control design approaches.
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Book details

List price: $214.95
Copyright year: 2003
Publisher: John Wiley & Sons, Incorporated
Publication date: 7/9/2003
Binding: Hardcover
Pages: 640
Size: 6.38" wide x 9.47" long x 1.37" tall
Weight: 2.2
Language: English

Preface
Introduction
Feedback in Control Systems
System Modeling
Continuous-Time Systems
Discrete-Time Systems
Feedback Control
Adaptive Control System Prototypes
Simple Adaptive Control Systems
Direct Adaptive Control
Indirect Adaptive Control
Discrete-Time Designs
Backstepping Nonlinear Design
Adaptive Control versus Fixed Control
Summary
Problems
Systems Theory
Dynamic System Models
Nonlinear Systems
Linear Systems
System Characterizations
Signal Measures
Vector and Matrix Norms
Signal Norms
Lyapunov Stability
Stability Definitions
Positive Definite Functions
Lyapunov Direct Method
Linear Systems
Lyapunov Indirect Method
Input-Output Stability
Bellman-Gronwall Lemma
Small-Gain Lemma
Operator Stability
Strictly Positive Real Systems
Signal Convergence Lemmas
Discrete-Time Systems
System Modeling
Norms and Signal Spaces
Stability
Operator Norms
Pole Placement
Problems
Adaptive Parameter Estimation
A Parametrized System Model
Linear Parametric Models
Normalized Gradient Algorithm
Normalized Least-Squares Algorithm
Parameter Convergence
Persistency of Excitation
Convergence of the Gradient Algorithm
Convergence of the Least-Squares Algorithm
Discrete-Time Algorithms
Linear Parametric Models
Normalized Gradient Algorithm
Normalized Least-Squares Algorithm
Parameter Convergence
Robustness of Adaptive Algorithms
Continuous-Time Algorithms
Discrete-Time Algorithms
Robust Adaptive Laws
Continuous-Time Algorithms
Discrete-Time Algorithms
Summary
Discussion
Problems
Adaptive State Feedback Control
Design for State Tracking
Design Example
Control System Structure
Adaptive Laws
Adaptive System Properties
Design for Output Tracking
Introductory Example
Control System Structure
Adaptive Laws
Disturbance Rejection
State Tracking
Output Tracking
Parametrization of State Feedback
Parametrization with Full-Order Observer
Parametrization with Reduced-Order Observer
Discrete-Time Adaptive Control
Design Example
Output Tracking Design
Disturbance Rejection
Parametrizations of State Feedback
Problems
Continuous-Time Model Reference Adaptive Control
Control System Structure
Model Reference Control
Adaptive Control
Tracking Error Equation
Lyapunov Design for Relative Degree 1
Alternative Design for Relative Degree 1
Lyapunov Design for Arbitrary Relative Degrees
Gradient Design for Arbitrary Relative Degrees
Summary
Robustness of MRAC
Lyapunov Designs for Relative Degree 1
Gradient Algorithms
Robust MRAC
Modeling Errors
Robustness of MRC
Robust Adaptive Laws
Robust Stability Analysis
Summary
Design for Unknown High Frequency Gain
Adaptive Control Designs Using Nussbaum Gain
An Adaptive Control System
Discussion
Problems
Discrete-Time Model Reference Adaptive Control
Control System Structure
Model Reference Control
Adaptive Control Systems
Adaptive Control for Disturbance d(t) = 0
Robustness of MRAC with d(t) [set membership] L[superscript 2]
Robust Adaptation for Bounded d(t)
Robustness of MRAC with L[superscript 1+ alpha] Errors
Plant with Modeling Errors
Adaptive Control Scheme
Robustness Analysis
Discussion
Problems
Indirect Adaptive Control
Model Reference Designs
Simple Adaptive Control Systems
General Design Procedure
Pole Placement Designs
Control System Structure
Pole Placement Control
Controller Parameter Adaptation
Discrete-Time Adaptive Control Systems
Model Reference Designs
Pole Placement Designs
Discussion
Problems
A Comparison Study
Benchmark Example
Direct Adaptive Control Designs
State Feedback Design
Output Feedback Design
Indirect Adaptive Control Design
Direct-Indirect Adaptive Control Design
Direct Adaptive Control for Motor Dynamics
Indirect Adaptive Control for Load Dynamics
Simulation Results
Adaptive Backstepping Design
Problems
Multivariable Adaptive Control
Adaptive State Feedback Control
Design for State Tracking
Design Based on LDU Parametrization
System Identification
Model Reference Adaptive Control
Description of Multivariable Systems
Plant and Controller Parametrizations
Robust Model Reference Control
Error Model
Adaptive Laws
Stability and Robustness Analysis
MRAC Using Right Interactor Matrices
Continuous-Time Lyapunov Designs
MRAC Designs for Input and Output Delays
Adaptation and High Frequency Gain Matrix
Designs Based on Decompositions of K[subscript p]
Adaptive Backstepping Control
Plant Parametrization
State Observer
Design Procedure for B[subscript m] Nonsingular
Design Based on SDU Decomposition of B[subscript m]
Design Procedure for B[subscript m] Singular
Adaptive Control of Robotic Systems
Robotic System Modeling
Illustrative Example
Design for Parameter Variations
Design for Unmodeled Dynamics
Discussion
Problems
Adaptive Control of Systems with Nonlinearities
Actuator Nonlinearity Compensation
Actuator Nonlinearities
Parametrized Nonlinearity Inverses
State Feedback Inverse Control
Output Feedback Inverse Control
Designs for Multivariable Systems
Designs for Unknown Linear Dynamics
Designs for SISO Plants
Designs for MIMO Plants
Designs for Nonlinear Dynamics
Design for Feedback Linearizable Systems
Design for Parametric-Strict-Feedback Systems
Design for Output-Feedback Systems
Discussion
Problems
Bibliography
Index