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Robust constrained model predictive control for linear time-varying systems with norm-bounded uncertainty

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2 Author(s)
Vorapon Kunnee ; Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University 254 Phayathai Road, Pathumwan, Bangkok 10330 Thailand ; David Banjerdpongchai

In this paper, we propose a robust constrained model predictive control (RCMPC) for stabilizing processes with norm-bounded uncertainty. This type of uncertainty is used to avoid on-line computational burdens. The robust stability comes with a guarantee described by parameter-dependent Lyapunov function (PDLF). The control law based on PDLF is potentially less conservative than that based on single Lyapunov function (SLF), due to additional degree of freedom. We give numerical examples based on a single non-isothermal CSTR system to illustrate the effectiveness of this algorithm.

Published in:

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008. ECTI-CON 2008. 5th International Conference on  (Volume:2 )

Date of Conference:

14-17 May 2008