A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems

Joint Authors

Mahmoudi, Mohammad Reza
Baroumand, Salman
Zaman, Amir Reza

Source

Complexity

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

Philosophy

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