Decentralised model predictive control with stability constraints and its application in process control

Publication Type:
Journal Article
Citation:
Journal of Process Control, 2015, 26 pp. 73 - 89
Issue Date:
2015-02
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This paper presents a novel decentralised model predictive control for a plant consisting of interconnected systems. A constructive technique for online stabilisation that is applicable to the model predictive controllers (MPC) is developed. The plant-wise stability is achievable by the newly introduced asymptotically positive realness constraint (APRC) for MPC. Simulations are provided to demonstrate the efficiency of the presented APRC.
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