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), 471-502. (doi:10.1002/acs.685).

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Original Publication URL: http://dx.doi.org/10.1002/acs.685

Description/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.

Item Type: Article
ISSNs: 0890-6327 (print)
Related URLs:
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: University Structure - Pre August 2011 > School of Engineering Sciences
ePrint ID: 22272
Date Deposited: 21 Mar 2006
Last Modified: 27 Mar 2014 18:11
URI: http://eprints.soton.ac.uk/id/eprint/22272

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