Networked and distributed predictive control of non-linear systems subject to asynchronous communication

• Published in: IET control theory & applications Vol. 12; no. 4; pp. 504 - 514
• Main Authors: Zhou, Yuanqiang, Li, Dewei, Lu, Jianbo, Xi, Yugeng, Cen, Lihui
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 06.03.2018
• Subjects: asynchronous communication; asynchronous distributed model predictive control; closed loop systems; closed‐loop networked control systems; closed‐loop performance; computational resources; control system synthesis; coupled Van der Pol oscillators; distributed control; dual‐mode strategy; guaranteed error bounds; interconnected agents; interconnected heterogeneous subsystems; interconnected systems; networked control systems; networked predictive controller; nonlinear control systems; nonlinear systems; optimisation; predictive control; receding horizon optimisation; relaxation oscillators; Research Article; stabilisation; stability; virtual trajectory generator; asynchronous communication; guaranteed error bounds; dual-mode strategy; optimisation; receding horizon optimisation; interconnected systems; stability; interconnected agents; distributed control; closed-loop performance; relaxation oscillators; control system synthesis; interconnected heterogeneous subsystems; stabilisation; closed loop systems; nonlinear systems; computational resources; coupled Van der Pol oscillators; asynchronous distributed model predictive control; nonlinear control systems; closed-loop networked control systems; networked control systems; networked predictive controller; predictive control; virtual trajectory generator
• ISSN: 1751-8644; 1751-8652
• DOI: 10.1049/iet-cta.2017.0674

The asynchronous communication always exists in networked control systems that consist of interconnected heterogeneous subsystems. To improve the closed-loop performance, a networked and distributed predictive controller is developed for such a system in this study. At each time instant, a virtual trajectory generator for the interconnected agents with guaranteed error bounds is proposed to implement the receding horizon optimisation. Then, a dual-mode strategy is designed for the asynchronous distributed model predictive control to make effective use of computational resources. Conditions for ensuring the feasibility of the proposed algorithm and the stabilisation of the closed-loop networked control systems are developed, respectively. Finally, a simulation example of a set of coupled Van der Pol oscillators is presented to illustrate the results.