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).
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.
This record has no associated files available for download.
More information
Identifiers
Catalogue record
Export record
Altmetrics
Contributors
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.