自适应控制：英文版

　　本书为国外高校电子信息类优秀教材（英文影印版）之一。本书综合地展现了自适应控制的全貌，并全面而精炼地对自适应控制的理论与实现作了有深度的论述。针对第一版读者的反馈，作者在第二版中重新组织了书中的材料，使内容安排更加合理，易于教学。本书适合作为自动化、控制专业高年级本科生和研究生教学用书。

暂缺《自适应控制：英文版》作者简介

1 WHAT IS ADAPTIVE CONTROL?
 1.1 Introduction
 1.2 Linear Feedback
 1.3 Effects of Process Variations
 1.4 Adaptive Schemes
 1.5 The Adaptive Control Problem
 1.6 Applications
 1.7 Conclusions
 Problems
 References
 2 REAL-TIME PARAMETER ESTIMATION
 2.1 Introduction
 2.2 Least Squares and Regression Models
 2.3 Estimating Parameters in Dynamical Systems
 2.4 Experimental Conditions
 2.5 Simulation of Recursive Estimation
 2.6 Prior Information
 2.7 Conclusions
 Problems
 References
 3 DETERMINISTIC SELF-TUNING REGULATORS
 3.1 Introduction
 3.2 Pole Placement Design
 3.3 Indirect Self-tuning Regulators
 3.4 Continuous-Time Self-tuners
 3.5 direct Self-tuning Regulators
 3.6 Disturbances with Known Characteristics
 3.7 Conclusions
 Problems
 References
 4 STOCHASTIC AND PREDICTIVE SELF-TUNING REGULATORS
 4.1 Introduction
 4.2 Design of Minimum-Variance and Moving-Average Controllers
 4.3 Stochastic Self-tuning Regulators
 4.4 Unification of Direct Self-tuning Regulators
 4.5 Linear Quadratic STR
 4.6 Adaptive Predictive Control
 4.7 Conclusions
 Problems
 References
 5 MODEL-REFERENCE ADAPTIVE SYSTMES
 5.1 Introduction
 5.2 The MIT Rule
 5.3 Determination of the Adaptation Gain
 5.4 Lyapunov Theory
 5.5 Design of MRAS Using Lyapunov Theory
 5.6 Bounded-Input,Bounded-Output Stability
 5.7 Applications to Adaptive Control
 5.8 Output Feedback
 5.9 Relations between MRAS and STR
 5.10 Nonlinear Systems
 5.11 Conclusions
 Problems
 References
 6 PROPERTIES OF ADAPTIVE SYSTEMS
 6.1 Introduction
 6.2 Nonlinear Dynamics
 6.3 Adaptation of a Feedforward Gain
 6.4 Analysis of Indirect Discrete-Time Self-tuners
 6.5 Stability of Direct Discrete-Time Algorithms
 6.6 Averaging
 6.7 Application of Averaging Techniques
 6.8 Averaging in Stochastic Systems
 6.9 Robust Adaptive Controllers
 6.10 Conclusions
 Problems
 References
 7 STOCHASTIC ADAPTIVE CONTROL
 7.1 Introduction
 7.2 Multistep Decision Problems
 7.3 The Stochastic Adaptive Problem
 7.4 Dual Control
 7.5 Suboptimal Strategies
 7.6 Examples
 7.7 Conclusions
 Problems
 References
 8 AUTO-TUNING
 8.1 Introduction
 8.2 PID Control
 8.3 Auto-tuning Techniques
 8.4 Transient Response Methods
 8.5 Methods Based on Relay Feedback
 8.6 Relay Oscillations
 8.7 Conclusions
 Problems
 References
 9 GAIN SCHEDULING
 9.1 Introduction
 9.2 The Principle
 9.3 Design of Gain-Scheduling Controllers
 9.4 Nonlinear Transformations
 9.5 Applications of Gain Scheduling
 9.6 Conclusions
 Problems
 References
 10 ROBUST AND SELF-OSCILLATING SYSTEMS
 10.1 Why Not Adaptive Control?
 10.2 Robust High-Gain Feedback Control
 10.3 Self-oscillating Adaptive Systems
 10.4 Variable-Structure Systems
 10.5 Conclusions
 Problems
 References
 11 PRACTICAL ISSUES AND IMPLEMENTATION
 11.1 Introduction
 11.2 Controller Implementation
 11.3 Controller Design
 11.4 Solving the Diophantine Equation
 11.5 Estimator Implementation
 11.6 Square Root Algorithms
 11.7 Interaction of Estimation and Control
 11.8 Probotype Algorithms
 11.9 Operational Issues
 11.10 Conclusions
 Problems
 Peferences
 12 COMMERCIAL PRODUCTS AND APPLICATIONS
 12.1 Introduction
 12.2 Status of Applications
 12.3 Industrial Adaptive Controllers
 12.4 Some Industrial Adaptive Controllers
 12.5 Process Control
 12.6 Automobile Control
 12.7 Ship Steering
 12.8 Ultrafiltration
 12.9 Conclusions
 References
 13 PERSPECTIVES ON ADAPTIVE CONTROL
 13.1 Introduction
 13.2 Adaptive Signal Processing
 13.3 Extremum Control
 13.4 Expert Control Systems
 13.5 Learing Systems
 13.6 Future Trends
 13.7 Conclusions
 References
 INDEX