Title :
Sliding mode control for networked systems with Markovian jumping parameters
Author :
Bei Chen ; Yugang Niu ; Yuanyuan Zou
Author_Institution :
Key Lab. of Adv. Control & Optimization for Chem. Processes, East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
This work considers the problem of sliding mode control for stochastic systems with Markovian jumping parameters, in which the packet dropout may happen when the state information is transmitted from the sensor to the controller. By means of an estimator for loss signals, an integral-like sliding function is constructed. And then, a sliding mode controller involving in dropout probability is designed such that the effect of packet losses can be effectively attenuated. Moreover, the analysis on both the stability of sliding mode dynamics and the reachability of sliding surface are made. Finally, the numerical simulation results are given.
Keywords :
Markov processes; control system synthesis; networked control systems; probability; sensors; stability; stochastic systems; variable structure systems; Markovian jumping parameter; controller; dropout probability; integral-like sliding function; loss signal estimator; networked system; numerical simulation; packet dropout; packet loss; sensor; sliding mode control; sliding mode dynamics; sliding surface reachability; stability; state information; stochastic system; Decision support systems; Packet loss; Sliding mode control; Stochastic systems; Symmetric matrices; Trajectory; Markovian jumping systems; packet losses; sliding mode control; stochastic perturbation;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
DOI :
10.1109/ICARCV.2012.6485367