Imperial College London
Emeritus Professor Martin Clark

Emeritus ProfessorMartinClark

Faculty of Engineering, Department of Electrical and Electronic Engineering

Emeritus Professor in Electrical and Electronic Engineering
 
 
 
//

Contact

 

+44 (0)20 7594 6272j.m.c.clark

 
 
//

Location

 

402Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Clark:2012:10.1080/17442508.2011.652117,
author = {Clark, JMC and Vinter, RB},
doi = {10.1080/17442508.2011.652117},
journal = {Stochastics-An International Journal of Probability and Stochastic Processes},
pages = {667--681},
title = {Stochastic exit time problems arising in process control},
url = {http://dx.doi.org/10.1080/17442508.2011.652117},
volume = {84},
year = {2012}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper concerns the problem of controlling a stochastic system, with small noise parameter, to prevent it leaving a safe region of the state space. Such problems arise in flow control and other areas. We consider a formulation of the problem, in which a control is sought, to maximize a cost which is related to the expected exit time, but modified to reduce the probability of an early exit, according to a specified level of risk aversion (‘risk sensitive’ stochastic control). Formally letting the noise parameter tend to zero, we find that the optimal control strategy for this problem coincides with the optimal feedback control strategy for a differential game. We identify a class of differential games arising in this way, the so called decomposable differential games, for which the optimal control strategy can be easily obtained and illustrate the proposed solution technique by applying it to a flow control problem arising in process systems engineering.
AU  - Clark,JMC
AU  - Vinter,RB
DO  - 10.1080/17442508.2011.652117
EP  - 681
PY  - 2012///
SN  - 1744-2516
SP  - 667
TI  - Stochastic exit time problems arising in process control
T2  - Stochastics-An International Journal of Probability and Stochastic Processes
UR  - http://dx.doi.org/10.1080/17442508.2011.652117
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000315152900007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/40484
VL  - 84
ER  -
Download