DOBC based Fully Probability Design for Stochastic System with the Multiplicative Noise


This paper proposes a Fully Probabilistic control framework for stochastic systems with multiplicative noise and external disturbance. The proposed framework consists of two main components, the disturbance observer based compensator to reject the modelled disturbance, and the Fully Probability Design (FPD) controller to achieve the regulation objective. The disturbance observer is developed based on Bayes' theory following a probabilistic framework. Compared with the conventional FPD, the new framework in this paper is extended to deal with multiplicative noise, and at the same time improve the performance of the control system by rejecting external disturbances. The convergence analysis of the estimation and control processes is also provided. Finally, a numerical example is given to illustrate the effectiveness of the proposed control method.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied Mathematics & Data Science
Additional Information: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see Funding: This work was supported by the Leverhulme Trust under Grant RPG-2017-337.
Uncontrolled Keywords: Fully probabilistic design,disturbance observer based control,multiplicative noise,stochastic systems control,Computer Science(all),Materials Science(all),Engineering(all)
Publication ISSN: 2169-3536
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Related URLs: https://ieeexpl ... cument/9000614/ (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2020-02-27
Published Online Date: 2020-02-17
Accepted Date: 2020-02-01
Authors: Zhou, Yuyang (ORCID Profile 0000-0002-2188-2781)
Herzallah, Randa (ORCID Profile 0000-0001-9128-6814)



Version: Published Version

License: Creative Commons Attribution

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