Title :
Finite Horizon Optimal Control of Networked Control Systems with Markov Delays
Author :
Wu, Jin ; Deng, Feiqi
Author_Institution :
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou
Abstract :
An augmented matrix model for the networked control systems is presented, and by employing the multirate sampling method, the modeled systems change to hybrid systems. Based on hybrid systems, a stochastic optimal control law is derived for those networked control systems that the delays wherein have Markov characteristic. In addition, we make a discussion about the data chaos and data dropout problems, and we discuss the stability of the NCSs. Simulations are also presented to show the feasibility of the controller we provided in this paper
Keywords :
Markov processes; control systems; delays; matrix algebra; optimal control; sampling methods; stochastic systems; telecommunication control; telecommunication networks; Markov delays; augmented matrix model; data chaos; data dropout; finite horizon optimal control; hybrid system; multirate sampling; networked control system; stochastic optimal control law; Actuators; Automation; Communication system control; Control systems; Delay effects; Delay systems; Networked control systems; Optimal control; Sampling methods; Stochastic systems; Networked control systems; markov delay; multirate sampling method;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713233
