Please use this identifier to cite or link to this item: https://doi.org/10.1002/acs.928
Title: Finite-model adaptive control using an LS-like algorithm
Authors: Ma, H. 
Keywords: Feedback
Finite-model adaptive control
LS
Nonlinear
Stability
Uncertainty
Issue Date: Jun-2007
Citation: Ma, H. (2007-06). Finite-model adaptive control using an LS-like algorithm. International Journal of Adaptive Control and Signal Processing 21 (5) : 391-414. ScholarBank@NUS Repository. https://doi.org/10.1002/acs.928
Abstract: Adaptive control problem of a class of discrete-time nonlinear uncertain systems, of which the internal uncertainty can be characterized by a finite set of functions, is formulated and studied by using an least squares (LS)-like algorithm to design the feedback control law. For the finite-model adaptive control problem, this algorithm is proposed as an extension of counterpart of traditional LS algorithm. Stability in sense of pth mean for the closed-loop system is proved under a so-called linear growth assumption, which is shown to be necessary in general by a counter-example constructed in this paper. The main results have been also applied to parametric cases, which demonstrate how to bridge the non-parametric case and parametric case. Copyright © 2006 John Wiley & Sons, Ltd.
Source Title: International Journal of Adaptive Control and Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/115732
ISSN: 08906327
DOI: 10.1002/acs.928
Appears in Collections:Staff Publications

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