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Model-Reference Adaptive Control: A Primer (Advanced Textbooks in Control and Signal Processing) by Nhan T. Nguyen is a nonfiction available to read on EtoBox.

What is Model-Reference Adaptive Control: A Primer (Advanced Textbooks in Control and Signal Processing) about?

This textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered. Robustness issues connected with MRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever rele

Who reads Model-Reference Adaptive Control: A Primer (Advanced Textbooks in Control and Signal Processing)?

Author

Nhan T. Nguyen

Publisher

Springer International Publishing : Imprint : Springer

Published

2018

Language

DE

ISBN

9783319563930

Category

nonfiction

Subjects

Engineering, Science, Stem