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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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.
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||University Structure - Pre August 2011 > School of Engineering Sciences
|Date Deposited:||21 Mar 2006|
|Last Modified:||01 Jun 2011 06:18|
|Contributors:||Veres, S.M. (Author)
|Contact Email Address:||S.M.Veres@soton.ac.uk|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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