Document Type

Thesis

Date of Award

Fall 10-31-1994

Degree Name

Master of Science in Electrical Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

Marshall Chuan Yung Kuo

Second Advisor

Timothy Nam Chang

Third Advisor

Yun Q. Shi

Abstract

Application of Matrix Minimum Principle to a linear decentralized optimal control in descriptor systems is studied in this thesis. Linear-quadratic index of performance with Gaussian initial state is considered. The necessary and sufficient conditions for optimality are derived

An additional constraint is imposed such that the controllers are linear function of output y(t) rather than of the state vector x(t). The optimal gain matrix Gi* is then specified by the necessary conditions.

Two examples are developed to illustrate the concept.

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