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

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4513

Lastpage

4517

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713233

Filename

1713233