Event-triggered robust model predictive control of continuous-time nonlinear systems

• Published in: Automatica (Oxford) Vol. 50; no. 5; pp. 1507 - 1513
• Main Authors: Li, Huiping, Shi, Yang
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.05.2014; Elsevier
• Subjects: Adaptative systems; Algorithms; Applied sciences; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Continuous-time systems; Control system analysis; Control theory. Systems; Disturbances; Dynamical systems; Event-triggered; Exact sciences and technology; Feasibility; Mathematical models; Model predictive control (MPC); Nonlinear dynamics; Nonlinear systems; Optimal control; Predictive control; Robust control; Software; Stability; Robust control; Model predictive control (MPC); Nonlinear systems; Continuous-time systems; Event-triggered; Disturbances; Event management; Non linear control; Continuous time; Invariant set; Dynamical system; Non linear system; Dead beat control; Model predictive control; Reactive system; Multiagent system; Mechanism synthesis; Distributed control; Feasibility; Sensor array; Triggering; Discrete event system

The event-triggered control is of compelling features in efficiently exploiting system resources, and thus has found many applications in sensor networks, networked control systems, multi-agent systems and so on. In this paper, we study the event-triggered model predictive control (MPC) problem for...