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