On the feedback control of stochastic systems tracking prespecified probability density functions-Reference-Cited by-同舟云学术

On the feedback control of stochastic systems tracking prespecified probability density functions

Published:2005-12 Issue:5 Volume:27 Page:319-329
ISSN:0142-3312
Container-title:Transactions of the Institute of Measurement and Control
language:en
Short-container-title:Transactions of the Institute of Measurement and Control

Author:

Elbeyli O.¹,Hong Ling²,Sun J. Q.³

Affiliation:

1. Department of Mechanical Engineering, University of Delaware, Newark, DE 19716, USA

2. Department of Mechanical Engineering, University of Delaware, Newark, DE 19716, USA, Xi’an Jiaotong University, Xi’an, Shanxi, P.R. China

3. Department of Mechanical Engineering, University of Delaware, Newark, DE 19716, USA,

Abstract

This paper studies feedback controls of stochastic systems to track a prespecified probability density function (PDF). The moment equations of the response are used in the control design to illustrate the underlining issues. A hierarchical approach is proposed to design the control for tracking Gaussian and non-Gaussian PDFs. The control design approach is validated by extensive Monte Carlo simulations with a simple example.

Publisher

SAGE Publications

Subject

Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1191/0142331205tm154oa

Reference22 articles.

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5. Reliability-Based Approach to Linear Covariance Control Design

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