Aperiodic Robust Model Predictive Control for Constrained Continuous-Time Nonlinear Systems: An Event-Triggered Approach

作者：Liu, Changxin; Gao, Jian; Li, Huiping^*; Xu, Demin

来源：IEEE Transactions on Cybernetics, 2018, 48(5): 1397-1405.

DOI：10.1109/TCYB.2017.2695499

• Constrained nonlinear systems
• event-triggered control
• model predictive control (MPC)
• robust control

The event-triggered control is a promising solution to cyber-physical systems, such as networked control systems, multiagent systems, and large-scale intelligent systems. In this paper, we propose an event-triggered model predictive control (MPC) scheme for constrained continuous-time nonlinear systems with bounded disturbances. First, a time-varying tightened state constraint is computed to achieve robust constraint satisfaction, and an event-triggered scheduling strategy is designed in the framework of dual-mode MPC. Second, the sufficient conditions for ensuring feasibility and closed-loop robust stability are developed, respectively. We show that robust stability can be ensured and communication load can be reduced with the proposed MPC algorithm. Finally, numerical simulations and comparison studies are performed to verify the theoretical results.

• 出版日期2018-5
• 单位西北工业大学