Optimal Control: Linear Quadratic Methods Contributor(s): Anderson, Brian D. O. (Author), Moore, John B. (Author) |
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ISBN: 0486457664 ISBN-13: 9780486457666 Publisher: Dover Publications OUR PRICE: $23.70 Product Type: Paperback - Other Formats Published: February 2007 Annotation: Numerous examples highlight this treatment of the use of linear quadratic Gaussian methods for control system design. It explores linear optimal control theory from an engineering viewpoint, with illustrations of practical applications. Key topics include loop-recovery techniques, frequency shaping, and controller reduction. Numerous examples and complete solutions. 1990 edition. |
Additional Information |
BISAC Categories: - Technology & Engineering | Robotics - Technology & Engineering | Engineering (general) - Mathematics | Probability & Statistics - General |
Dewey: 519.6 |
LCCN: 2006052128 |
Series: Dover Books on Engineering |
Physical Information: 1" H x 6.1" W x 9.2" (1.45 lbs) 464 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |