Robust model reference adaptive control for multivariable plants
Ioannou, Petros A.
SourceInternational Journal of Adaptive Control and Signal Processing
Google Scholar check
MetadataShow full item record
A complete procedure for generating and analysing robust model reference adaptive control schemes for multivariable plants is developed. The procedure consists of two parts: the first part involves the characterization of the integral structure of the modelled part of the plant, and the associated parametrization of the controller structureand the second part involves the development of a general robust adaptive law for adjusting the controller parameters so that the closed‐loop plant is globally stable despite the presence of unmodelled dynamics and bounded disturbances. The use of dominantly rich signals for improving convergence and the bounds for the tracking and parameter error is also analysed. Copyright © 1988 John Wiley & Sons, Ltd.
Showing items related by title, author, creator and subject.
Giannakopoulou, Vasso; Cartmell, Deborah; Giannakopoulou, Vasso [0000-0003-3302-3295] (Oxford University Press, 2019)
Paspallis, Nearchos; Papadopoulos, George Angelos (2006)The prospect of adaptive, mobile applications provides both opportunity and challenge to the application developers. Adaptive, mobile applications are designed to constantly adapt to the contextual conditions with the aim ...
Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches Farrell, J. A.; Polycarpou, Marios M. (2006)