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

V Kunnee ,David Banjerdpongchai

doi:10.1109/ecticon.2008.4600502

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

V Kunnee , David Banjerdpongchai

https://doi.org/10.1109/ecticon.2008.4600502

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Publication Date: May 1, 2008

Citations: 8

Affiliation: Chulalongkorn University

#Robust Constrained Model Predictive Control #Parameter-dependent Lyapunov Function + Show 8 more

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Abstract

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.

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