End-point parametrization and guaranteed stability for a model predictive control scheme


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Weiland, Siep and Stoorvogel, Anton A. and Tiagounov, Andrei A. (2001) End-point parametrization and guaranteed stability for a model predictive control scheme. In: 40th IEEE Conference on Decision and Control, 4-7 December 2001, Orlando, Florida, United States (pp. pp. 4832-4837).

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Abstract:In this paper we consider the closed-loop asymptotic stability of the model predictive control scheme which involves the minimization of a quadratic criterion with a varying weight on the end-point state. In particular, we investigate the stability properties of the (MPC-) controlled system as function of the end-point penalty and provide a useful parametrization of the class of end-point penalties for which stability of the controlled system can be guaranteed. The results are successfully applied for the implementation of an MPC controller of a binary distillation process
Item Type:Conference or Workshop Item
Copyright:© 2001 IEEE
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/69041
Official URL:http://dx.doi.org/10.1109/.2001.980972
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