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Optimal Control: Linear Quadratic Methods (Dover Books on Engineering), by Brian D. O. Anderson, John B. Moore
Ebook Download Optimal Control: Linear Quadratic Methods (Dover Books on Engineering), by Brian D. O. Anderson, John B. Moore
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This augmented edition of a respected text teaches the reader how to use linear quadratic Gaussian methods effectively for the design of control systems. It explores linear optimal control theory from an engineering viewpoint, with step-by-step explanations that show clearly how to make practical use of the material.
The three-part treatment begins with the basic theory of the linear regulator/tracker for time-invariant and time-varying systems. The Hamilton-Jacobi equation is introduced using the Principle of Optimality, and the infinite-time problem is considered. The second part outlines the engineering properties of the regulator. Topics include degree of stability, phase and gain margin, tolerance of time delay, effect of nonlinearities, asymptotic properties, and various sensitivity problems. The third section explores state estimation and robust controller design using state-estimate feedback.
Numerous examples emphasize the issues related to consistent and accurate system design. Key topics include loop-recovery techniques, frequency shaping, and controller reduction, for both scalar and multivariable systems. Self-contained appendixes cover matrix theory, linear systems, the Pontryagin minimum principle, Lyapunov stability, and the Riccati equation. Newly added to this Dover edition is a complete solutions manual for the problems appearing at the conclusion of each section.
- Sales Rank: #325860 in Books
- Published on: 2007-02-27
- Released on: 2007-02-27
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.00" w x 6.10" l, 1.25 pounds
- Binding: Paperback
- 464 pages
About the Author
Brian D. O. Anderson and John B. Moore are the authors of Dover's Optimal Filtering and are both on the faculty of The Australian National University, Canberra.
Most helpful customer reviews
10 of 11 people found the following review helpful.
I was disappointed
By Peter, graduate student
I tried to use this book as a newcomer to the optimal control two years ago. I was reading it patiently and I even tried to add some infromation from the internet. But the book is very difficult to understand. Many steps in deriving new formulas are unclear and left unexplained.
I really do not recommend it as a student's book. Now I am more familiar with optimal control theory, but I still cannot find this book useful. It might be useful as refrence, but I doubt it.
7 of 10 people found the following review helpful.
This book should be much better
By Z. shiyu
It is a classic book on advanced LQR control and has been cited extensively. But it is not easy to read and not appropriate for self-learning. In addition, many symbols and notations are out of fashion. For example, the state-space representation of a linear system in this book is dx/dt=Fx+Gu instead of dx/dt=Ax+Bu. The matrix transpose is denoted as A' instead of A^T. The book is published in 1990. I hope it can be revised so as to attract more readers.
By the way, I recently found a very good math book on advanced LQR named "Linear systems and control" by MJ Corless. It provides many useful proofs on basic LQR related problems.
6 of 10 people found the following review helpful.
Great Reference Book
By Raoul R. Rausch
It is a great reference book; though I believe you could learn the subject matter from the book, I can't speak for it. I am currently a Phd Student in Astrodynamics focusing on formation flying and I have had a grad. level course on LQR/LQE, following that it is an excellent reference text if you need to look something up.
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