Event-triggered dual-mode predictive control for constrained nonlinear systems with continuous/intermittent detection

Xiaoda Hu, Hao Yu, Fei Hao*, Yueyang Luo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

This paper investigates the problem of event-triggered model predictive control for constrained nonlinear systems. A dual-mode control strategy combined with two different event-triggered mechanisms are introduced to reduce computational and communication loads. For the event-triggered mechanisms, two cases, continuous detection and intermittent detection, are considered, respectively. In order to avoid the transmission of continuous predicted control input trajectories, the actual control signals are generated under a sample-and-hold manner. A decreasing prediction horizon is introduced to reduce the complexity of optimization problems and a tightened state constraint is designed to achieve robust constraint satisfaction. The sufficient conditions are derived to guarantee the feasibility and stability of the closed-loop system. The performance of the proposed strategy is illustrated by a simulation example.

Original languageEnglish
Article number101149
JournalNonlinear Analysis: Hybrid Systems
Volume44
DOIs
Publication statusPublished - May 2022
Externally publishedYes

Keywords

  • Constraints
  • Disturbances
  • Event-triggered mechanisms
  • Model predictive control
  • Nonlinear systems

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Hu, X., Yu, H., Hao, F., & Luo, Y. (2022). Event-triggered dual-mode predictive control for constrained nonlinear systems with continuous/intermittent detection. Nonlinear Analysis: Hybrid Systems, 44, Article 101149. https://doi.org/10.1016/j.nahs.2021.101149