DocumentCode :
646174
Title :
Event-triggered model predictive control of discrete-time linear systems subject to disturbances
Author :
Lehmann, D. ; Henriksson, Erik ; Johansson, Karl H.
Author_Institution :
ACCESS Linnaeus Centre & the Autom. Control Lab., R. Inst. of Technol., Stockholm, Sweden
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
1156
Lastpage :
1161
Abstract :
This paper presents an approach to event-triggered model predictive control for discrete-time linear systems subject to input and state constraints as well as exogenous disturbances. Stability properties are derived by evaluating the difference between the event-triggered implementation and the conventional time-triggered scheme. It is shown that the event-triggered implementation, in stationarity, is able to keep the state in an explicitly computable set given by the disturbance bound and the event threshold. Simulation results underline the effectiveness of the proposed scheme in terms of reducing the communication and computational effort while guaranteeing a desired performance.
Keywords :
discrete time systems; linear systems; predictive control; stability; discrete-time linear systems; event threshold; event-triggered model predictive control; exogenous disturbances; input constraints; stability properties; state constraints; time-triggered scheme; Closed loop systems; Mathematical model; Optimal control; Optimization; Predictive control; Simulation; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
Type :
conf
Filename :
6669580
Link To Document :
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