DocumentCode :
2695381
Title :
MLD-based modeling and MPC of discrete-time hybrid systems with stochastic mode transitions
Author :
Kobayashi, Koichi ; Hiraishi, Kunihiko
Author_Institution :
Sch. of Inf. Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
fYear :
2010
fDate :
8-10 Sept. 2010
Firstpage :
1331
Lastpage :
1336
Abstract :
Stochastic hybrid systems have several applications such as biological systems and communication networks, but it is difficult to consider analysis and control of general stochastic hybrid systems. In this paper, discrete-time hybrid systems with stochastic mode transitions (called here discrete-stochastic hybrid systems) are considered as a class of stochastic hybrid systems. For this system, a modeling method and a model predictive control algorithm are proposed. In the proposed method, based on time sequences of modes, a given system is modeled by a time-varying mixed logical dynamical model. Furthermore, the control input is generated by solving a mixed integer linear programming problem at each time.
Keywords :
discrete time systems; integer programming; linear programming; predictive control; stochastic systems; discrete-stochastic hybrid systems; discrete-time hybrid systems; mixed integer linear programming; model predictive control; stochastic mode transition; time-varying mixed logical dynamical model; Cost function; Linear systems; Optimal control; Predictive control; Predictive models; Stochastic processes; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications (CCA), 2010 IEEE International Conference on
Conference_Location :
Yokohama
Print_ISBN :
978-1-4244-5362-7
Electronic_ISBN :
978-1-4244-5363-4
Type :
conf
DOI :
10.1109/CCA.2010.5611274
Filename :
5611274
Link To Document :
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