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Model predictive control for a class of hybrid system based on linear programming

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4 Author(s)
Xiugai Li ; Inst. of Autom., Chinese Acad. of Sci., Beijing, China ; Dongjie Gao ; Yuhong Wang ; Wensheng Wang

Aiming at the hybrid properties of an industrial process, predictive control based on a mixed logic dynamic model is presented to research a class of hybrid systems which comprises both logic and continuous controllers. The paper presents the algorithm for model predictive control based on 1-1 norm linear programming and the system's stability condition is also discussed. Simulation results show that the LP-based performance criterion has less computational time and cost than that of QP-based criteria. Thus the LP-based strategy is particularity well suited for solving control systems with large size and very stringent real-time requirement, which provides the complex industrial process with a new idea for the next generation.

Published in:

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on  (Volume:1 )

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