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Convergence of control performance by unfalsification of models - levels of confidence

Veres, S.M. (2001) Convergence of control performance by unfalsification of models - levels of confidence International Journal of Adaptive Control and Signal Processing, 15, (5), pp. 471-502. (doi:10.1002/acs.685).

Record type: Article

Abstract

A general framework is introduced for iterative/adaptive controller design schemes by model unfalsification. An important feature of the schemes is their convergence near to the best possible controller given a set of model and controller structures. The problem of stability assured controller tuning is examined through unfalsified Riemannian bands of the Nyquist plot. Instability tolerant H(?) and l(1)-norm-based controller tuning schemes are introduced. Computational problems are discussed and a simulation is used to illustrate the new scheme.

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Published date: 2001

Identifiers

Local EPrints ID: 22272
URI: http://eprints.soton.ac.uk/id/eprint/22272
ISSN: 0890-6327
PURE UUID: 8dd73228-19aa-4ec0-bcd9-bf72301bff4c

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Date deposited: 21 Mar 2006
Last modified: 17 Jul 2017 16:22

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Author: S.M. Veres

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