Optimal switching policy for performance enhancement of distributed parameter systems based on event-driven control

doi:10.1088/1674-1056/23/7/070204

Abstract This paper aims to improve the performance of a class of distributed parameter systems for the optimal switching of actuators and controllers based on event-driven control. It is assumed that in the available multiple actuators, only one actuator can receive the control signal and be activated over an unfixed time interval, and the other actuators keep dormant. After incorporating a state observer into the event generator, the event-driven control loop and the minimum inter-event time are ultimately bounded. Based on the event-driven state feedback control, the time intervals of unfixed length can be obtained. The optimal switching policy is based on finite horizon linear quadratic optimal control at the beginning of each time subinterval. A simulation example demonstrate the effectiveness of the proposed policy.

Keywords: distributed parameter systems optimal switching policy event-driven

Received: 07 December 2013
Revised: 08 January 2014
Accepted manuscript online:

PACS:	02.30.Jr	(Partial differential equations)
	07.07.Df	(Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing)
	07.05.Dz	(Control systems)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61174021 and 61104155), the Fundamental Research Funds for the Central Universities, China (Grant Nos. JUDCF13037 and JUSRP51322B), the Programme of Introducing Talents of Discipline to Universities, China (Grant No. B12018), and the Jiangsu Innovation Program for Graduates, China (Grant No. CXZZ13-0740).

Corresponding Authors: Mu Wen-Ying
E-mail: weny815@126.com

About author: 02.30.Jr; 07.07.Df; 07.05.Dz

Cite this article:

Mu Wen-Ying (穆文英), Cui Bao-Tong (崔宝同), Lou Xu-Yang (楼旭阳), Li Wen (李纹) Optimal switching policy for performance enhancement of distributed parameter systems based on event-driven control 2014 Chin. Phys. B 23 070204

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Optimal switching policy for performance enhancement of distributed parameter systems based on event-driven control

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