NDLI: Multi-objective minimum entropy controller design for stochastic processes

Content Provider	IEEE Xplore Digital Library
Author	Afshar, P. Nobakhti, A. Hong Wang Tianyou Chai
Copyright Year	2010
Description	Author affiliation: Electr. Eng., Sharif Univ. of Technol., Tehran, Iran (Nobakhti, A.) \|\| Control Syst. Centre, Univ. of Manchester, Manchester, UK (Afshar, P.; Hong Wang) \|\| Centre of Autom., Northeastern Univ. Shenyang, Shenyang, China (Tianyou Chai)
Abstract	Minimum variance control is an established method in control of systems corrupted by noise. In these cases, as it is not possible to directly control the actual value of the system variables, one aims to reduce the variations instead. However, when the system noises are non-Gaussian, this approach fails because non-Gaussian noise cannot be characterised by simple measures such as variance. In these cases, the Entropy is proposed as a generalisation of the variance measure and the control objective becomes that of minimising the Entropy. Previously a limited form of this problem has been solved using first order Newtonian methods. In this paper, the control objective is first expanded to also include an error term related to the closed loop tracking performance, and the combined problem is then solved using a fast global optimisation search algorithm. The effectiveness of the approach is demonstrated through a case study based on a first principle model of a nonlinear heat exchanger.
Starting Page	355
Ending Page	360
File Size	461013
Page Count	6
File Format	PDF
ISBN	9781424474264
ISSN	07431619
e-ISBN	9781424474271
DOI	10.1109/ACC.2010.5530823
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Entropy Process design Stochastic processes Control systems Stochastic systems Automatic control Nonlinear control systems Tracking loops Pi control Stochastic resonance Differential Evolutions Minimum Entropy Control non-Gaussian stochastic systems PI Control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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