Decentralised model predictive control with stability constraints and its application in process control. (February 2015)

• Record Type: Journal Article
• Authors: Tuan, H.D.; Savkin, A.; Nguyen, T.N.; Nguyen, H.T.
• Is Part Of: Journal of process control. Volume 26(2015:Feb.)
• Page Start: 73
• Page End: 89
• Publication Date: 2015-02
• Subjects: Asymptotically positive realness constraint -- Model-based control -- Decentralised MPC -- Stability constraint; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2015.01.002
• Languages: English
• ISSNs: 0959-1524

Abstract

Abstract: 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.