DocumentCode :
3506418
Title :
Delay-Quantization and Augmented Controller Vector Method of Networked Control Systems Modeling
Author :
Liu, Leiming ; Shan, Liqun ; Tong, Chaonan
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing
Volume :
3
fYear :
2009
fDate :
7-8 March 2009
Firstpage :
278
Lastpage :
282
Abstract :
For the dynamic output feedback control problem over networks, when the control network is only inserted between the controller nodes and the actuator, delay-quantization and augmented controller vector method is applied and a discrete-time Markov jump system model is established. Then, the stabilization controller design method is presented. Finally, the simulation on a cart and inverted pendulum is made. Since the delay-quantization method is applied to the system, the model established and the design method proposed are fit for solving dynamic output feedback control problem with Markov delays, and are also fit for solving dynamic output feedback control problem with known distribution stochastic delays.
Keywords :
Markov processes; control engineering computing; control system synthesis; delays; discrete time systems; feedback; quantisation (signal); augmented controller vector method; delay-quantization method; discrete-time Markov jump system model; distribution stochastic delay; dynamic output feedback control problem; networked control system modeling; stabilization controller design method; Actuators; Communication system control; Control systems; Delay; Design methodology; Educational technology; Linear feedback control systems; Networked control systems; Output feedback; State feedback; Markov jump linear system; augmented controller vector; delay-quantization; dynamic output feedback control; networked control system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
Type :
conf
DOI :
10.1109/ETCS.2009.589
Filename :
4959310
Link To Document :
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