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).

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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
Digital Object Identifier (DOI): doi:10.1002/acs.685
ISSNs: 0890-6327 (print)
Subjects:
ePrint ID: 22272
Date :
Date Event
2001Published
Date Deposited: 21 Mar 2006
Last Modified: 16 Apr 2017 22:51
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/22272

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