A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems
Joint Authors
Mahmoudi, Mohammad Reza
Baroumand, Salman
Zaman, Amir Reza
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
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.
American Psychological Association (APA)
Baroumand, Salman& Zaman, Amir Reza& Mahmoudi, Mohammad Reza. 2020. A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1145657
Modern Language Association (MLA)
Baroumand, Salman…[et al.]. A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1145657
American Medical Association (AMA)
Baroumand, Salman& Zaman, Amir Reza& Mahmoudi, Mohammad Reza. A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1145657
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145657