https://doi.org/10.1140/epjs/s11734-024-01212-4
Regular Article
QGA-based reliable control for fuzzy sampled data control systems with applications
1
Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), 624 302, Dindigul, Tamil Nadu, India
2
Research Center for Complex Systems, Aalen University, 73430, Aalen, Germany
Received:
27
March
2024
Accepted:
14
June
2024
Published online:
28
June
2024
This research aims to enhance the stabilization of fuzzy sampled data control systems (FSDCS) using a quantum genetic algorithm (QGA)-based reliable control scheme. Robust two-sided looped Lyapunov functionals are introduced to strengthen the effectiveness of the proposed control technique and sufficient conditions are derived for the FSDCS’s asymptotic stability. The superiority of the research is shown with less conservative results. Numerical simulations using the recognized Lorenz system and wing chaotic system illustrate the exceptional performance of the derived results compared with existing approaches.
Copyright comment Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
