"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."
Pazdera, John S., 1941-1974
Rivers, Jack L.
Bertnolli, Edward C.
Penico, Anthony J., 1923-2011
Noack, Thomas L.
Electrical and Computer Engineering
Ph. D. in Electrical Engineering
University of Missouri--Rolla
vii, 82 pages
© 1970 Donald James Schooley, All rights reserved.
Dissertation - Open Access
Library of Congress Subject Headings
Adaptive control systems
Adaptive control systems -- Mathematical models
Intelligent control systems
Print OCLC #
Electronic OCLC #
Link to Catalog Record
Schooley, Donald James, "Model-referenced adaptive control of plants with noise and inaccessible state vector" (1970). Doctoral Dissertations. 2048.