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A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems
Department of Electrical Engineering, Faculty of Engineering, Fasa University, Fasa, Iran.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-6289-5450
Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam. Department of Statistics, Faculty of Science, Fasa University, Fasa, Fars, Iran.
2020 (English)In: Complexity, ISSN 1076-2787, E-ISSN 1099-0526, Vol. 2020, article id 9580243Article in journal (Refereed) Published
Abstract [en]

In this paper, the covariance control algorithm for nonlinear stochastic systems using covariance feedback is studied. Covariance control of nonlinear systems scenario involves the theory of covariance control based on the idea of the covariance feedback. Therefore, the proposed covariance control algorithm is derived for our case, firstly by applying the covariance control method and linear approximation of nonlinear systems, and then it is achieved by adopting this method for a class of nonlinear stochastic systems by using feedback linearization idea and a covariance feedback controller. The effectiveness of the proposed covariance feedback algorithm is studied using numerous simulations concerning different nonlinear case studies.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2020. Vol. 2020, article id 9580243
National Category
Control Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:ltu:diva-82186DOI: 10.1155/2020/9580243ISI: 000597937600002Scopus ID: 2-s2.0-85097578249OAI: oai:DiVA.org:ltu-82186DiVA, id: diva2:1514824
Note

Validerad;2021;Nivå 2;2021-01-07 (alebob)

Available from: 2021-01-07 Created: 2021-01-07 Last updated: 2021-01-11Bibliographically approved

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Zaman, Amir Reza

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