Minimum attention stochastic control with homotopy optimization

Varanasi, Santhosh Kumar and Jampana, Phanindra Varma and Vyasarayani, C. P. (2021) Minimum attention stochastic control with homotopy optimization. International Journal of Dynamics and Control, 9 (1). pp. 266-274. ISSN 2195-268X

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Abstract

A method of designing control inputs for tracking problems when models considered in the form of stochastic differential equations is proposed. Using the ideas of control vector parameterization, the control input identification problem is formulated as a parameter identification problem, which is solved using homotopy optimization. To further obtain a control with the least number of switchings, i.e., minimum attention control, a sparse recovery framework is developed. The accuracy of the proposed methods is demonstrated with the help of a linear second-order system and a non-linear quadruple tank system.

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IITH Creators:
IITH CreatorsORCiD
Jampana, Phanindra Varmahttp://orcid.org/0000-0002-9678-5249
Vyasarayani, Chandrika Prakashhttp://orcid.org/0000-0002-3396-0484
Item Type: Article
Uncontrolled Keywords: Attention control; Control vector parameterization; Identification problem; Parameter identification problems; Second-order systemss; Stochastic control; Stochastic differential equations; Tracking problem;Differential equations; Stochastic models; Stochastic systems
Subjects: Chemical Engineering
Chemical Engineering > Cleaning, color, coating, related technologies
Chemical Engineering > Metallurgy
Divisions: Department of Chemical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 26 Jun 2021 08:15
Last Modified: 04 Mar 2022 05:01
URI: http://raiith.iith.ac.in/id/eprint/8012
Publisher URL: http://doi.org/10.1007/s40435-020-00639-6
OA policy: https://v2.sherpa.ac.uk/id/publication/28222
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