This tutorial-style presentation of the fundamental techniques and algorithms in adaptive control is designed to meet the needs of a wide audience without sacrificing mathematical depth or rigor. The text explores the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Topics include models for dynamic systems, stability, online parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws.
Engineers and students interested in learning how to design, stimulate, and implement parameter estimators and adaptive control schemes will find that this treatment does not require a full understanding of the analytical and technical proofs. This volume will also serve graduate students who wish to examine the analysis of simple schemes and discover the steps involved in more complex proofs. Advanced students and researchers will find it a guide to the grasp of long and technical proofs. Numerous examples demonstrating design procedures and the techniques of basic analysis enrich the text.
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The area of adaptive control has grown to be one of the richest in terms of algorithms, design techniques, analytical tools, and modifications. To an outsider, however, the field of adaptive control may appear as a colloection of unrelated tricks and modifications. Robust Adaptive Control reduces the confusion and difficulty in understanding the design, analysis, and robustness of a wide class of adaptive control for continuous-time plants. Presented in a tutorial style, this book unifies, simplifies, and presents most of the existing techniques for designing and analyzing adaptive control systems.
Most of the confusion and difficulty in understanding the design, analysis and robustness of a wide class of adaptive systems for continous-time plants will be alleviated by this new book that promises to be the most comprehensive guide available in the area of adaptive control of continuous-time systems. Presents most of the existing techniques for designing and analyzing adaptive systems, in a tutorial manner. Covers models for dynamic systems, stability, on- line parameter estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws. For engineers working in the areas of identification, neural networks, fuzzy logic, and controls.
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