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Research Article | Open Access

Rate of convergence to periodic regimes in nonlinear feedback systems with strongly convex backlash characteristics

Igor G. Vladimirov( )Ian R. Petersen
School of Engineering, Australian National University, Canberra, ACT 2601, Australia
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Abstract

This paper considers a class of hysteresis systems consisting of a linear part with an external input and feedback with a backlash nonlinearity. Assuming that the latter is specified by a strongly convex set, we establish estimates for the Lyapunov exponents which quantify the rate of convergence of the system state trajectories to a forced periodic regime when the input is a periodic function of time with a sufficiently large "amplitude". These results employ enhanced dissipation inequalities, arising from differential inclusions with strongly convex sets which were used previously for the Moreau sweeping process.

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Mathematics in Engineering
Pages 610-636

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Cite this article:
Vladimirov IG, Petersen IR. Rate of convergence to periodic regimes in nonlinear feedback systems with strongly convex backlash characteristics. Mathematics in Engineering, 2025, 7(5): 610-636. https://doi.org/10.3934/mine.2025025

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Received: 05 January 2025
Revised: 20 August 2025
Accepted: 17 September 2025
Published: 15 October 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)