Robust Model Predictive Control for Sampled-data Systems
説明
In this paper model predictive control (MPC) problems for time-varying sampled-data systems with polytopic uncertainty are considered. Since sampled-data systems can be rewritten as equivalent jump systems, solutions of MPC problems for time-varying sampled-data systems are given as solutions of the optimization problems for equaivalent jump systems. The design method of state feedback laws based on LMIs is given.
収録刊行物
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- 2006 SICE-ICASE International Joint Conference
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2006 SICE-ICASE International Joint Conference 5120-5125, 2006-01-01
IEEE
