Stabilization of Perturbed Continuous-Time Systems Using Event-Triggered Model Predictive Control | IEEE Journals & Magazine | IEEE Xplore

Stabilization of Perturbed Continuous-Time Systems Using Event-Triggered Model Predictive Control


Abstract:

In this article, event-triggered model predictive control (EMPC) of continuous-time nonlinear systems with bounded disturbances is studied. Two novel event-triggered cont...Show More

Abstract:

In this article, event-triggered model predictive control (EMPC) of continuous-time nonlinear systems with bounded disturbances is studied. Two novel event-triggered control schemes are proposed. In the first strategy, an event-triggering condition, designed based on the state error between the actual system state and the optimal one, with an absolute threshold is considered. In the second strategy, an event-triggering condition with a mixed threshold is designed to further save the computational resources. The minimal interevent times of both event-triggered control schemes are obtained to avoid the Zeno behavior. Sufficient conditions of recursive feasibility for these two triggering strategies, which refer to the prediction horizon, the triggering level, and the disturbance bound, are obtained, respectively. Input-to-state practical stability (ISpS) of both event-triggered control systems is established without requiring the system state entering the terminal set in finite time, respectively. Finally, the numerical simulation shows the effectiveness of the proposed methods.
Published in: IEEE Transactions on Cybernetics ( Volume: 52, Issue: 5, May 2022)
Page(s): 4039 - 4051
Date of Publication: 07 September 2020

ISSN Information:

PubMed ID: 32894726

Funding Agency:


References

References is not available for this document.