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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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 |
| Item ID: | 22272 |
| Date Deposited: | 21 Mar 2006 |
| Last Modified: | 01 Jun 2011 06:18 |
| Contributors: | Veres, S.M. (Author) |
| Date: | 2001 |
| Status: | Published |
| Contact Email Address: | S.M.Veres@soton.ac.uk |
| URI: | http://eprints.soton.ac.uk/id/eprint/22272 |
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