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Adaptive Controlby Karl J. Astrom
Synopses & Reviews
Suitable for advanced undergraduates and graduate students, this text introduces theoretical and practical aspects of adaptive control. It offers an excellent perspective on techniques as well as an active knowledge of key approaches. Readers will acquire a well-developed sense of when to use adaptive techniques and when other methods are more appropriate.
Starting with a broad overview, the text explores real-time estimation, self-tuning regulators and model-reference adaptive systems, stochastic adaptive control, and automatic tuning of regulators. Additional topics include gain scheduling, robust high-gain control and self-oscillating controllers, and suggestions for implementing adaptive controllers. Concluding chapters feature a summary of applications and a brief review of additional areas closely related to adaptive control.
Both authors are Professors at the Lund Institute of Technology in Sweden, and this text has evolved from their many years of research and teaching. Their insights into properties, design procedures, and implementation of adaptive controllers are complemented by the numerous examples, simulations, and problems that appear throughout the book.
Suitable for advanced undergraduates and graduate students, this overview introduces theoretical and practical aspects of adaptive control, with emphasis on deterministic and stochastic viewpoints. 1995 edition.
Suitable for advanced undergraduates and graduate students, this overview introduces theoretical and practical aspects of adaptive control. It presents an excellent perspective on techniques and an active knowledge of key approaches, offering a well-developed sense of when to use adaptive techniques and when other methods are more appropriate. 1995 edition.
Table of Contents
1. What is Adaptive Control?
2. Real-Time Parameter Estimation
3. Deterministic Self-Tuning Regulators
4. Stochastic and Predictive Self-Tuning Regulators
5. Model-Reference Adaptive Systems
6. Properties of Adaptive Systems
7. Stochastic Adaptive Control
9. Gain Scheduling
10. Robust and Self-Oscillating Systems
11. Practical Issues and Implementation
12. Commercial Products and Applications
13. Perspectives on Adaptive Control
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