An Asymptotic Scaling Analysis of LQ Performance for an Approximate Adaptive Control Design |
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Authors: | M French Cs Szepesvári E Rogers |
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Affiliation: | (1) Department of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, England. {mcf,etar}@ecs.soton.ac.uk., UK;(2) Mindmaker Ltd., Konkoly Th. M. u. 29-33, Budapest 1112, Hungary. szepes@mindmaker.hu. Also with Research Group on Artificial Intelligence, Hungarian Academy of Sciences—JATE, Szeged, Hungary., HU |
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Abstract: | We consider the adaptive tracking problem for a chain of integrators, where the uncertainty is static and functional. The
uncertainty is specified by L
2/L
∞ or weighted L
2/L
∞ norm bounds. We analyse a standard Lyapunov-based adaptive design which utilises a function approximator to induce a parametric
uncertainty, on which the adaptive design is completed. Performance is measured by a modified LQ cost functional, penalising
both the tracking error transient and the control effort. With such a cost functional, it is shown that a standard control
design has divergent performance when the resolution of a “mono-resolution” approximator is increased. The class of “mono-resolution”
approximators includes models popular in applications. A general construction of a class of approximators and their associated
controllers which have a uniformly bounded performance independent of the resolution of the approximator is given.
Date received: 20 April 1999. Date revised: 29 October 2001. |
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Keywords: | , Adaptive control, Function approximation, LQ performance, |
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