A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems

Complexity 2020:1-12 (2020)
  Copy   BIBTEX

Abstract

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.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,139

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

On the meaning of Lorentz covariance.László E. Szabó - 2003 - Foundations Of Physics Letters 17:479-496.
Dynamics of nonlinear feedback control.H. Snippe & J. H. van Hateren - 2004 - In Robert Schwartz (ed.), Perception. Malden Ma: Blackwell. pp. 182-182.
Covariance for quasi-probability distributions.Leon Cohen - 1976 - Foundations of Physics 6 (6):739-741.
General covariance, gauge theories and the kretschmann objection.John D. Norton - 2001 - In Katherine Brading & Elena Castellani (eds.), Symmetries in Physics: Philosophical Reflections. Cambridge University Press. pp. 110--123.

Analytics

Added to PP
2020-12-22

Downloads
16 (#830,801)

6 months
5 (#441,012)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations