Robust Adaptive Control

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		Robust Adaptive Control
		Robust Adaptive Control

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.

作者简介

Petros Ioannou is Professor in the Department of Electrical Engineering, Systems, at the University of Southern California and the Director of the Center of Advanced Technologies.

网友对Robust Adaptive Control的评论

很好的控制理论专业书，深度够，水平高！

A detailed work carefully prepared with a balanced approach emphasizing theory and applications underlying ideas of robustness in Adaptive Control Systems Theory. The author is a faculty member of the Department of Electrical Engineering-Systems at the University of Southern California.

The book is voluminous, 821 pages, and has lots of worked problems as well as those for homework. Prerequisites are State Space methods in Systems Theory, Linear Control Theory, Optimal Control Theory, Probability and related Stochastic Processes and a good understanding of Mathematics, especially Systems of Linear Differential Equations and Matrix Theory.

Although the approach is heavily mathematical, the author tries to relate the ideas he presents robustness within the framework of "adaptivity" in Control Systems by illustrating the underlying theory with worked examples that include plenty of block diagrams showing control signal flow, etc.

The reader has to be prepared to work diligently by tackling exercises in following the developments in the book. This is a book not for the faint of heart, but the author does derive all his equations step by step, leaving little for the reader to guess. He also states the various theorems in a mathematical format throughout the work and gives a lot of examples drawn from Control System problems via the State Space (matrix-vector) approach.

Perhaps this is one of the well written books suited for a classroom environment in which a competent and proficient instructor teaches and guides his/her students through the ideas behind modern elements of a robust approach to Adaptive Control Theory and its various applications.

All in all - an intense but also reasonably balanced work in Robust Adaptive Control Theory, combining mathematical rigor with problem solving within the framework of Modern Control Theory.

Brand new and cheap. I like it very much!

This is a must-have for an adaptive control pro.
Despite this book exploits a lot of mathematics, it indeed provides various useful schemes in both theories and practices. Furthermore, the authors summarized almost every developed methodology in concise tables. For me, this is especially useful when solving a problem without suffering from the detailed proofs again. This is an essential reference and never collects dust in my bookshelf.

This is one of the best references on Adaptive Control that I have come across. It has truly given me insight.

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