Optimal Control
(eBook)

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Published
Dover Publications, 2014.
ISBN
9780486151571
Status
Available Online

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eBook
Language
English

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Citations

APA Citation (style guide)

Brian D. O. Anderson., Brian D. O. Anderson|AUTHOR., & John B. Moore|AUTHOR. (2014). Optimal Control. Dover Publications.

Chicago / Turabian - Author Date Citation (style guide)

Brian D. O. Anderson, Brian D. O. Anderson|AUTHOR and John B. Moore|AUTHOR. 2014. Optimal Control. Dover Publications.

Chicago / Turabian - Humanities Citation (style guide)

Brian D. O. Anderson, Brian D. O. Anderson|AUTHOR and John B. Moore|AUTHOR, Optimal Control. Dover Publications, 2014.

MLA Citation (style guide)

Brian D. O. Anderson, Brian D. O. Anderson|AUTHOR, and John B. Moore|AUTHOR. Optimal Control. Dover Publications, 2014. Web.

Note! Citation formats are based on standards as of July 2010. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.

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Grouping Information

Grouped Work ID5f74fefc-3c69-9018-d610-eca237226c45
Full titleoptimal control
Authoranderson brian d o
Grouping Categorybook
Last Update2021-07-06 21:20:25PM
Last Indexed2021-08-01 04:46:39AM

Hoopla Extract Information

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    [synopsis] => 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.
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