Optimal control : linear quadratic methods

Bibliographic Information

Optimal control : linear quadratic methods

Brian D.O. Anderson, John B. Moore

(Prentice-Hall information and system sciences series)

Prentice Hall, c1989

  • : pbk

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Note

This edition may be sold only in those countries to which it is consigned by Prentice-Hall International. It is not to be re-exported, and it is not for sale in the U.S.A., Mexico, or Canada

Includes bibliographical references and indexes

Description and Table of Contents

Description

The aim of this guide is to prepare students to use linear quadratic Gaussian methods effectively in designing control systems. Exploring linear optimal control from an engineering viewpoint, with step-by-step explanations, the text introduces the basic theory of the linear regulation/tracker for time-invariant and time-varying systems. It uses the principles of optimality to introduce the Hamilton-Jacobi equation and explores state estimation and robust controller design using state estimate feedback. Also covered are topics of loop transfer recovery techniques, frequency shaping and controller reduction for both scalar and multivariate systems, as well as degrees of stability, phase and gain margin, tolerance of time delay, effect of nonlinearities, asymptotic properties and various sensitivity problems.

Table of Contents

  • Part 1 Theory of the optimal regulator: the standard regulator problems I and II
  • tracking systems. Part 2 Properties and application of the optimal regulator: properties of regulator systems with a classical control interpretation
  • asymptotic properties and quadratic weights selection
  • state estimator design
  • system design using state estimators
  • frequency shaping
  • controller reduction
  • digital controllers.

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