T. Zou, X. Wang, S.Y. Li, and Q.M. Zhu
Nonlinear model predictive control, multiple model switching predictive control, mixed logic, mixed integer quadratic programming
In this study a procedure to design multiple model switching predictive controllers (MMSPC) is proposed for the nonlinear dynamic processes with large operation regions. To facilitate the MMSPC design, a general mixed logic dynamic system (MLDS) model is proposed for approximating the nonlinear processes. A major contribution of this study is to integrate a number of techniques to form a novel procedure, and therefore to make multistep state and output predictions effectively realizable within the frame of multiple model switching control. A case for support is presented to demonstrate the efficiency of the design procedure.
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