Decentralised model predictive control with asymptotically positive realness

Publication Type:
Conference Proceeding
IEEE International Conference on Control and Automation, ICCA, 2013, pp. 822 - 827
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2013001866OK.pdf532.44 kB
Adobe PDF
This paper presents a novel distributed model predictive control strategy for a large-scale system consisting of interconnected subsystems. A constructive method of online stabilisation that is applicable to the model predictive controllers (MPC) is developed to facilitate the control strategy. The system stability is achievable by the newly introduced asymptotically positive realness constraint (APRC) for MPC. Simulations are provided to demonstrate the efficacy of the presented stability constraint. © 2013 IEEE.
Please use this identifier to cite or link to this item: