Abstract:
The model predictive control (MPC) of Cyber-Physical-Systems (CPSs) suffer from the drawbacks of heavy communication and computation cost. This paper studies the self-tri...Show MoreMetadata
Abstract:
The model predictive control (MPC) of Cyber-Physical-Systems (CPSs) suffer from the drawbacks of heavy communication and computation cost. This paper studies the self-triggered model predictive control (STMPC) problem for continuous-time nonlinear systems subject to system constraints under cyber-physical scenarios. A novel STMPC strategy is proposed which allows adaptively to select sampling number during two triggering time instants, and new self-triggered condition is designed. Furthermore, the feasibility of the designed algorithm and the closed-loop stability is theoretically ensured. We show that the closed-loop system is asymptotically stable under the proposed self-triggered strategy. Finally, a simulation example is provided to verify the effectiveness of the proposed algorithm.
Date of Conference: 06-09 May 2019
Date Added to IEEE Xplore: 01 August 2019
ISBN Information: