Multivariable Adaptive Model Matching Using Less A Priori Information

[+] Author and Article Information
M. Das

Department of Electrical and Systems Engineering, Oakland University, Rochester, MI 48063

J. Dyn. Sys., Meas., Control 108(2), 151-153 (Jun 01, 1986) (3 pages) doi:10.1115/1.3143758 History: Received September 01, 1984; Revised June 01, 1985; Online July 21, 2009


The interactor matrix of a system plays an important role in the design of model-matching adaptive controllers for multivariable systems. With the purpose of reducing a priori information necessary for such a design, this note presents a reformulation of the basic design methodology of a well known multivariable, adaptive model-matching algorithm and shows how one can estimate the nondiagonal entries of the interactor matrix from a priori knowledge of the degrees of its diagonal entries alone.

Copyright © 1986 by ASME
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