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Event-Triggered Distributed Model Predictive Control for Interconnected Networked Systems

In: Distributed Cooperative Model Predictive Control of Networked Systems

Author

Listed:
  • Yuanyuan Zou

    (Shanghai Jiao Tong University, Department of Automation)

  • Shaoyuan Li

    (Shanghai Jiao Tong University, Department of Automation)

Abstract

NCSs with dynamically decoupled subsystems are discussed in all the above chapters. In practice, there are also many networked systems consisting of a team of physically interconnected subsystems, which act directly on the dynamic behaviors of other subsystems. Thus the following chapter focuses on the problem of stabilizing this kind of NCSs and presents a novel event-triggered DMPC strategy. In terms of the design of MPC controllers, additional constraints relevant to the triggering instants are imposed to guarantee the global performance. As for the construction of triggering mechanisms, two event-triggering conditions are built from the analysis of recursive feasibility and system stability with considering the coupling influences, which are based on system information of the local subsystem itself and its neighbors. And then an event-triggered dual-mode DMPC algorithm is built, which contributes to achieving a satisfied control performance while lowering consumption of computation and communication resources. Finally, the effectiveness of the designed algorithm is verified by examples on the water level control of a four-tank system.

Suggested Citation

  • Yuanyuan Zou & Shaoyuan Li, 2022. "Event-Triggered Distributed Model Predictive Control for Interconnected Networked Systems," Springer Books, in: Distributed Cooperative Model Predictive Control of Networked Systems, chapter 0, pages 125-152, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-6084-0_7
    DOI: 10.1007/978-981-19-6084-0_7
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