Doctoral Dissertations

Abstract

"The problems of process noise, measurement noise, and inaccessible process state vector in the model-referenced system of Shackcloth-Butchart-Parks (SBP) are investigated. Since the system no longer possesses a static equilibrium point, the concept of asymptotic stability does not apply. However, by using Liapunov-like ideas, the error between the plant (process plus controller) and the model is shown to enter a region about the origin if certain bounds are known. A possible technique for reducing the size of this region is to feedback a function of the error into the plant's input. Several methods of circumventing the inaccessible state vector problem are presented. If the inaccessible state variables are first order derivatives of accessible ones, then one can employ approximate derivatives under certain conditions. Another approach, which is sometimes possible, is to substitute the model state variables for the plant state variables in the controlled feedback. This results in a significant improvement for both noisy and noiseless measurements. Examples are simulated to illustrate these extensions"--Abstract, page 1."

Advisor(s)

Pazdera, John S., 1941-1974

Committee Member(s)

Rivers, Jack L.
Bertnolli, Edward C.
Penico, Anthony J., 1923-2011
Noack, Thomas L.

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

1970

Pagination

vii, 82 pages

Note about bibliography

Includes bibliographical references (pages 29-31).

Rights

© 1970 Donald James Schooley, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Subject Headings

Adaptive control systems
Adaptive control systems -- Mathematical models
Lyapunov functions
Intelligent control systems

Thesis Number

T 2386

Print OCLC #

6020334

Electronic OCLC #

852794194

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