Networked PID control system modeling and simulation using Markov chain

Teng, Lanzhi and Wen, Peng (2007) Networked PID control system modeling and simulation using Markov chain. In: 2007 IEEE International Conference on Integration Technology, 20-24 March 2007, Shenzhen, China.

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Abstract

[Abstract]: This paper presents a new model for a Networked PID Control System. In this model a Markov chain is included to represent the unreliable link of the shared networks. In this study we identify the minimum measurement information involved in the PID control system and build it up as an embedded Markov chain. This converts a networked PID control system into a jump control system. This jump control system is evaluated in simulation and the results agree with our analysis.

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Item Type:	Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	© 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Date Deposited:	12 Dec 2007 05:24
Last Modified:	02 Jul 2013 22:48
Uncontrolled Keywords:	PID, networked control system, packet drop, Markov chain
Fields of Research (2008):	09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation 09 Engineering > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified
URI:	http://eprints.usq.edu.au/id/eprint/2954

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