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Observer-based control for nonlinear neutral type stochastic model with fractional Gaussian noise and input saturation

Publication Type : Journal Article

Publisher : Elsevier

Source : Chaos, Solitons & Fractals, 167, 113070, 2023

Url : sciencedirect.com/science/article/abs/pii/S0960077922012498

Campus : Chennai

School : School of Engineering

Department : Mathematics

Year : 2023

Abstract : This paper discusses the stabilization issue for a class of nonlinear neutral-type stochastic systems subject to time-varying delays, linear fractional uncertainties, actuator faults, input saturation and fractional stochastic noise. Primarily, the derivation analysis for the stability and stabilization for the addressed systems is carried out by adopting a fractional infinitesimal operator. A fault-tolerant controller under saturation effect will be designed in order to guarantee the stabilization of the considered systems. Further, a set of stability criteria is obtained with the help of the fractional infinitesimal operator and by choosing a suitable Lyapunov-Krasovskii functional. These stability criteria are derived in the form of linear matrix inequalities that are solved by the MATLAB LMI toolbox. Finally, simulation results are provided to illustrate the effectiveness of our findings through a numerical example.

Cite this Research Publication : S. Sweetha, V. Panneerselvam, N. Tatar and R. Sakthivel, Observer-based control for nonlinear neutral type stochastic model with fractional Gaussian noise and input saturation, Chaos, Solitons & Fractals, 167, 113070, 2023

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