A non-fragile robust observer design for uncertain time-delay fractional Itô stochastic systems with input nonlinearity: An SMC approach

Author:

Khandani Khosro1ORCID,Parvizian Majid2,Efe Mehmet Önder3

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak, Iran

2. School of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran

3. Department of Computer Engineering, Hacettepe University, Ankara, Turkey

Abstract

This article considers the problem of non-fragile observer design for uncertain fractional Itô stochastic systems. The design is based on a sliding surface whose reachability in finite time is guaranteed by introducing a novel sliding mode control law. Employing the fractional infinitesimal operator and the related lemmas, the stochastic stability of the overall closed-loop system is transformed to the problem of solving a set of linear matrix inequalities. Addressing the fragility issue, a norm-bounded term is added to the observer gain, which prevents failure of the estimation error system. The adverse effects of the input nonlinearity and time-varying delay are alleviated by the proposed approach. Furthermore, the present method is investigated for the fractional Itô stochastic systems with known states. A numerical example is presented to illustrate the effectiveness of the proposed method.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fuzzy-Based Integral Sliding Mode Control for PMSM With Fractional Stochastic Disturbances;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-02

2. Dynamic event–triggered security control for stochastic partial differential equation systems via a unified pointwise measurement/control strategy;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2023-10-04

3. Robust H∞ sliding mode control scheme for uncertain fractional stochastic systems: Nonlinear analysis and design;Asian Journal of Control;2023-02-19

4. Formation tracking control of fractional-order multi-agent systems with fixed-time convergence;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2022-07-12

5. Observer-based robust controller design for fractional-order systems with stochastic perturbations: A diffusive representation approach;Transactions of the Institute of Measurement and Control;2021-10-07

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