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

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...

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Veröffentlicht in:	Automatica (Oxford) Jg. 50; H. 5; S. 1507 - 1513
Hauptverfasser:	Li, Huiping, Shi, Yang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.05.2014 Elsevier
Schlagworte:	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
ISSN:	0005-1098, 1873-2836
Online-Zugang:	Volltext
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