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Anti-disturbance observer-based proportional-retarded control design for polytopic uncertain fractional-order systems

Publication Type : Journal Article

Publisher : Taylor & Francis

Source : International Journal of Systems Sciences, 54 (16), 3098-3111, 2023

Url : https://www.tandfonline.com/doi/full/10.1080/00207721.2023.2268241

Campus : Chennai

School : School of Engineering

Department : Mathematics

Year : 2023

Abstract : This study deals with the stabilisation problem of fractional-order time-delay systems with polytopic uncertainties and multiple disturbances with the use of Lyapunov stability theory. Notably, the multiple disturbances comprising both the known and unknown signals, are respectively characterised by the norm-bounded and exogenous system which signifies the harmonic signals with modelling perturbations. The control protocol is configured by the integration of proportional-retarded controller with gain perturbations and the output of an anti-disturbance observer. Precisely, the disturbance observer is taken into account for attenuating the influence of disturbance signals. Moreover, the implementation of a time-delay term in the feedback loop replicates the dynamic features of a derivative action that relies only on position measurements and its time differencing capabilities make it to be minimally sensitive against noise and provide a smoothing effect. By virtue of these circumstances, the asymptotic stability of the considered system is assured. With the aid of a suitable Lyapunov function, a set of robust order-dependent sufficient conditions is derived and then solved through the MATLAB LMI toolbox. As a result, the controller gain matrices can be computed and two numerical examples, including an electrical circuit model with simulation results are presented to certify the inherent potential of the theoretical outcomes.

Cite this Research Publication : R. Sakthivel, S. Sweetha, S. Mohanapriya and O.M. Kwon, Anti-disturbance observer-based proportional-retarded control design for polytopic uncertain fractional-order systems, International Journal of Systems Sciences, 54 (16), 3098-3111, 2023

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