ROBUST MODEL PREDICTIVE CONTROL FOR SWITCHED PIECEWISE LINEAR HYBRID SYSTEMS | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 2, Volume 34, No 6, November and December 2006, Page 1715-1726 PDF (572.57 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2006.111092 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Jean THOMAS 
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| Faculty of Industrial Education, Beni-Sueif University, Egypt | ||||
| Abstract | ||||
| This paper investigates the robust tracking and regulation control problems for discrete-time, switched piecewise linear hybrid systems affected by parameter variations. In particular, the main question addressed is related to the existence of a controller such that the closedloop system exhibits an attainable desired behavior under all possible parameter variation. Checking attainability and calculating the state space regions for which a robust control is assured despite the uncertainty is performed using a polyhedral approach. A model predictive control law derived from a quadratic cost function minimization is further examined as a simple and fast sub-optimal robust control. An application of the proposed technique to a two-tank benchmark is finally presented. | ||||
| Keywords | ||||
| Piecewise Linear Systems; Robust Model Predictive Control; Model Uncertainty; Attainability | ||||
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