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The nonparametric predictive control of non-minimum phase plants using genetic algorithmLeš, Martina ; Svečko, RajkoIn this work we have considered a non-parametric predictive control for systems with zeros outside the unit circle, known as phase non-minimal systems. The proposed algorithm is based on an impulse ... response and enables control of an open-loop stable systems. We have improved the operation of such systems by the reduction of both the undershoot, caused by a non-minimum phase, and other oscillations caused by bad damping. The presented method improves the system dynamics and is suitable for real-time control, because its simplicity after the predictive coefficients are correctly defined. For open loop stable systems, we have shown that the control of such a system withimproved MPC-algorithm is stable under the defined conditions. The genetic algorithms have been used as search and as optimization method.Source: Journal of electrical engineering = Elektrotechnický časopis. - ISSN 1335-3632 (Vol. 51, no. 11-12, 2000, str. 301-306)Type of material - article, component partPublish date - 2000Language - englishCOBISS.SI-ID - 5955350
source: Journal of electrical engineering = Elektrotechnický časopis. - ISSN 1335-3632 (Vol. 51, no. 11-12, 2000, str. 301-306)
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Leš, Martina | 12273 |
Svečko, Rajko | 03778 |
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