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Robust Contractive Economic MPC for Nonlinear Systems with Additive Disturbance

Meng Zhao*, Can-Chen Jiang, and Ming-Hong She
International Journal of Control, Automation, and Systems, vol. 16, no. 5, pp.2253-2263, 2018

Abstract : "This article presents two novel robust contractive economic model predictive control (EMPC) algorithms with guaranteed input-to-state stability for nonlinear disturbed systems. Specifically, the first one adopts the nonquadratic economic objective function and implements the control sequence in block fashion, i.e., re-optimizing after all N control laws being applied. The second one takes receding horizon optimization strategy and only apply the first element in control sequence at each step. By appropriately chosen the contraction rate r in contractive constraint, the closed-loop system under each control algorithm is proven to be input-to-state stable. In order to illustrate the efficiency of proposed algorithms, a disturbed CSTR model is utilized."

Keyword : Contractive constraint, disturbance rejection, economic MPC (EMPC), nonlinear system.

 
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