Parameter convergence and minimal internal model with an adaptive output regulation problem

Title: Parameter convergence and minimal internal model with an adaptive output regulation problem
Creator: Liu, Lu; Chen, Zhiyong; Huang, Jie
Relation: Automatica Vol. 45, Issue 5, p. 1306-1311
Publisher Link: http://dx.doi.org/10.1016/j.automatica.2009.01.003
Publisher: Elsevier
Resource Type: journal article
Date: 2009
Description: The parameter convergence of nonlinear adaptive control systems is an important yet not well addressed issue. In this paper, using the global robust output regulation problem of output feedback systems with unknown exosystems as a platform, we will show that the well known persistency of excitation (PE) condition still guarantees the convergence of the estimated parameter vector to the true parameter vector. Moreover, the PE condition will be satisfied if the internal model is minimal in certain sense.
Subject: adaptive control; output regulation; nonlinear systems
Identifier: http://hdl.handle.net/1959.13/806453
Identifier: uon:7121
Identifier: ISSN:0005-1098
Language: eng
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