Event-triggered dual-mode predictive control for constrained nonlinear systems with continuous/intermittent detection. (May 2022)

• Record Type: Journal Article
• Authors: Hu, Xiaoda; Yu, Hao; Hao, Fei; Luo, Yueyang
• Is Part Of: Nonlinear analysis. Volume 44(2022)
• Publication Date: 2022-05
• Subjects: Event-triggered mechanisms -- Model predictive control -- Nonlinear systems -- Constraints -- Disturbances; Nonlinear functional analysis -- Periodicals; Analyse fonctionnelle non linéaire -- Périodiques; Nonlinear functional analysis; Periodicals; 515.7248
• DOI: 10.1016/j.nahs.2021.101149
• Languages: English
• ISSNs: 1751-570X

Abstract

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.