arXiv Analytics

Sign in

arXiv:2101.00495 [math.OC]AbstractReferencesReviewsResources

Volterra model-based control for nonlinear systems via Carleman linearization

Dhruvi Bhatt, Shambhu Nath Sharma

Published 2021-01-02Version 1

This paper presents detailed insights of embedding Carleman linearization into nonlinear systems for designing Volterra model-based control technique. Volterra series method is a competent mathematical tool, which extends the convolution integral for linear systems to nonlinear systems. First, we utilize the Carleman linearization technique to arrive at the bilinear approximation of the nonlinear system. Secondly, the third-order Volterra model representation is computed from the Carleman bilinearized model. Then, Volterra model-based control strategy is developed. The proposed method is effectuated on the benchmark van de Vusse reactor exhibiting non-minimum phase response. The open and closed-loop simulation results are presented, demonstrating the superiority and practical utility of the proposed method.

Related articles: Most relevant | Search more
arXiv:1001.2019 [math.OC] (Published 2010-01-12, updated 2013-05-31)
Semistability of Nonlinear Systems Having a Continuum of Equilibria and Time-Varying Delays
arXiv:2103.08782 [math.OC] (Published 2021-03-16)
Data to Controller for Nonlinear Systems: An Approximate Solution
arXiv:1903.05562 [math.OC] (Published 2019-03-13)
A method for the optimization of nonlinear systems with delays that guarantees stability and robustness