Uncertainty, Performance and Model Dependency in Approximate Adaptive Nonlinear Control

Uncertainty, Performance and Model Dependency in Approximate Adaptive Nonlinear Control. French, M., Szepesvári, C., & Rogers, E. In CDC, volume 3, pages 3046 - 3051, San Diego, California, 1997.

Paper abstract bibtex

We consider systems satisfying a matching condition which are functionally known up to a L2 measure of uncertainty. A modified L2 performance measure is given, and the performance of a class of model based adaptive controllers is studied. An upper performance bound is derived in terms of the uncertainty measure and measures of the approximation error of the model. Asymptotic analyses of the bounds under increasing model size are undertaken, and sufficient conditions are given on the model that ensure the performance bounds are bounded independent of the model size.

@inproceedings{m.french1997a,
	abstract = {We consider systems satisfying a matching condition which are functionally known up to a L2 measure of uncertainty. A modified L2 performance measure is given, and the performance of a class of model based adaptive controllers is studied. An upper performance bound is derived in terms of the uncertainty measure and measures of the approximation error of the model. Asymptotic analyses of the bounds under increasing model size are undertaken, and sufficient conditions are given on the model that ensure the performance bounds are bounded independent of the model size.},
	address = {San Diego, California},
	author = {French, M.C. and Szepesv{\'a}ri, Cs. and Rogers, E.},
	booktitle = {CDC},
	keywords = {adaptive control, performance bounds, Lyapunov design, strict feedback, chain of integrators, matched uncertainty, theory, control, nonparametrics, stabilization},
	owner = {Beata},
	pages = {3046 - 3051},
	timestamp = {2010.08.31},
	title = {Uncertainty, Performance and Model Dependency in Approximate Adaptive Nonlinear Control},
	url_paper = {cdc97.ps.pdf},
	volume = {3},
	year = {1997}}

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