An event-triggered cooperation approach for robust distributed model predictive control. (30th December 2018)

• Record Type: Journal Article
• Authors: Berkel, Felix; Liu, Steven
• Is Part Of: IFAC journal of systems and control. Volume 6(2018)
• Page Start: 16
• Page End: 24
• Publication Date: 2018-12-30
• Subjects: Model predictive control -- Distributed control -- Event-triggered communication; Automatic control -- Periodicals; Relay control systems -- Periodicals; Embedded computer systems -- Periodicals; Feedback control systems -- Periodicals; Artificial intelligence -- Periodicals; Artificial intelligence; Automatic control; Embedded computer systems; Feedback control systems; Relay control systems; Electronic journals; Periodicals; 629.89
• DOI: 10.1016/j.ifacsc.2018.10.002
• Languages: English
• ISSNs: 2468-6018

Abstract

Abstract: In distributed model predictive control based on distributed optimization, the controllers of each subsystem cooperatively solve an optimization problem using an iterative algorithm. In this paper an event-triggered cooperation approach is presented for constrained linear dynamically coupled subsystems with additive disturbance where the controllers only cooperate with each other if required. This reduces the overall communication effort between the controllers. The cooperation is initiated by local event-triggers, which are designed in combination with a robust distributed model predictive controller. Thereby, recursive feasibility of the control law is guaranteed and stability of a set around the origin can be shown. An illustrative example demonstrates the reduction of the communication effort.