|  | Farrell, Jay A. / Polycarpou, Marios M.
Adaptive Approximation Based Control
Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches
Adaptive and Learning Systems for Signal Processing, Communications, and Control Series
 1. Auflage - Mai 2006
109,- Euro
2006. 440 Seiten, Hardcover
ISBN-10: 0-471-72788-1
ISBN-13: 978-0-471-72788-0 - John Wiley & Sons
Preis inkl. Mehrwertsteuer zzgl. Versandkosten.
Kurzbeschreibung
Approximation Based Control brings together the necessary tools from approximation theory, parameter estimation, and feedback control to achieve a unified and synergistic treatment of on-line approximation based control. This eagerly awaited book includes chapters on approximation theory, approximation structures, parameter estimation, and a practical last chapter/case study presenting the on-line approximation based control of an aircraft.
Aus dem Inhalt
Preface.
1. INTRODUCTION.
1.1 Systems and Control Terminology.
1.2 Nonlinear Systems.
1.3 Feedback Control Approaches.
1.4 Components of Approximation Based Control.
1.5 Discussion and Philosophical Comments.
1.6 Exercises and Design Problems.
2. APPROXIMATION THEORY.
2.1 Motivating Example.
2.2 Interpolation.
2.3 Function Approximation.
2.4 Approximator Properties.
2.5 Summary.
2.6 Exercises and Design Problems.
3. APPROXIMATION STRUCTURES.
3.1 Model Types.
3.2 Polynomials.
3.3 Splines.
3.4 Radial Basis Functions.
3.5 Cerebellar Model Articulation Controller.
3.6 Multilayer Perceptron.
3.7 Fuzzy Approximation.
3.8 Wavelets.
3.9 Further Reading.
3.10 Exercises and Design Problems.
4. PARAMETER ESTIMATION METHODS.
4.1 Formulation for Adaptive Approximation.
4.2 Derivation of Parametric Models.
4.3 Design of On-Line Learning Schemes.
4.4 Continuous-Time Parameter Estimation.
4.5 On-Line Learning: Analysis.
4.6 Robust Learning Algorithms.
4.7 Concluding Summary.
4.8 Exercises and Design Problems.
5. NONLINEAR CONTROL ARCHITECTURES.
5.1 Small-Signal Linearization.
5.2 Feedback Linearization.
5.3 Backstepping.
5.4 Robust Nonlinear Control Design Methods.
5.5 Adaptive Nonlinear Control.
5.6 Concluding Summary.
5.7 Exercises and Design Problems.
6. ADAPTIVE APPROXIMATION: MOTIVATION AND ISSUES.
6.1 Perspective for Adaptive Approximation Based Control.
6.2 Stabilization of a Scalar System.
6.3 Adaptive Approximation Based Tracking.
6.4 Nonlinear Parameterized Adaptive Approximation.
6.5 Concluding Summary.
6.6 Exercises and Design Problems.
7. ADAPTIVE APPROXIMATION BASED CONTROL: GENERAL THEORY.
7.1 Problem Formulation.
7.2 Approximation Based Feedback Linearization.
7.3 Approximation Based Backstepping.
7.4 Concluding Summary.
7.5 Exercises and Design Problems.
8. ADAPTIVE APPROXIMATION BASED CONTROL FOR FIXED-WING AIRCRAFT.
8.1 Aircraft Model Introduction.
8.2 Angular Rate Control for Piloted Vehicles.
8.3 Full Control for Autonomous Aircraft.
8.4 Conclusions.
8.5 Aircraft Notation.
Appendix A: Systems and Stability Concepts.
A.1 Systems Concepts.
A.2 Stability Concepts.
A.3 General Results.
A.4 Prefiltering.
A.5 Other Useful Results.
A.6 Problems.
Appendix B: Recommended Implementation and Debugging Approach.
References.
Index.
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