Document Type

Thesis

Date of Award

9-30-1984

Degree Name

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

Department

Electrical Engineering

First Advisor

Marshall Chuan Yung Kuo

Second Advisor

Andrew Ulrich Meyer

Third Advisor

W. H. Warren Ball

Abstract

The purpose of this thesis is to present a new technique for estimating the unknown parameters of nonlinear discrete time-varying systems.

The method is based on the model-reference control system where the model and the plant are controlled to exhibit the same output trajectory. The model is chosen to be linear and stationary. To develop the procedure of identification we assume that the structure of the nonlinear system is known and all the measurements are free of noise. A feedback input is adapted to improve the scheme. This scheme can be used to simultaneously identify the parameters when the control matrix has full rank. Liapunov's direct method is used to establish the global asymptotic stability of the output error of the overall system.

Numerical examples are presented to illustrate the feasibility of the method.

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