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Linear Quadratic Optimal Output Feedback Control For Systems With Poles In A Specified Region (1996)
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BibTeX
@MISC{Yuan96linearquadratic,
author = {Lisong Yuan and Luke E. K. Achenie and Weisun Jiang},
title = {Linear Quadratic Optimal Output Feedback Control For Systems With Poles In A Specified Region},
year = {1996}
}
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Abstract
: The problem of output feedback LQR synthesis with regional pole constraints is studied. The synthesis algorithm is presented and its convergence is also proved. The effectiveness of the algorithm is illustrated by an example. Key words: Linear quadratic regulator, output feedback, pole assignment, optimal control. 2 1. Introduction Linear Quadratic Regulator (LQR) theory is no doubt one of the most fundamental control system design methods (Anderson and Moore, 1989). There are many attractive features of the LQR problem. For example, under certain stabilizability and detectability conditions, the resulting closed-loop system is not only asymptotically stable, but it also possesses infinite gain and at least a 60 degree phase margin, which implies that it has good sensitivity and robustness properties (Kalman 1964, Safonov and Athans 1977). Another important problem in control theory and practice is the design of a feedback law that places the closed-loop poles at desired location...
Keyphrases
specified region degree phase margin certain stabilizability robustness property feedback law many attractive feature fundamental control system design method important problem control theory synthesis algorithm lqr problem closed-loop pole linear quadratic regulator closed-loop system detectability condition introduction linear quadratic regulator regional pole constraint output feedback lqr synthesis infinite gain pole assignment key word good sensitivity output feedback optimal control
