Disturbance observer-based integral sliding-mode control design for leader-following consensus of multi-agent systems and its application to car-following model

Stephen Arockia Samy and Pratap Anbalagan

Chaos, Solitons & Fractals, 2023, vol. 174, issue C

Abstract: In this manuscript, the memory-based integral sliding-mode control (MBISMC) that depends on a disturbance observer (DOB) is designed for the multi-agent systems (MASs) with mismatched disturbance. To do this, DOB is provided to estimate disturbances, which are included in the controller design procedure. Besides that, an integral-type surface function (ISF) is intended to model the properties of the MASs and DOB. The designed ISF contains not only a state-dependent input matrix but also memory information. To date, the stability properties of the MAS with external disturbances, parameter uncertainties, and MBISMC have not been studied in the literature, which is the primary impetus for this research. Further, an H∞-theory and Lyapunov–Krasovskii functional (LKF) is applied to derive sufficient stability conditions that ensure the global asymptotic consensus of the presented model. Meanwhile, the mismatched disturbances of considered MASs are attenuated effectively by the MBISMC method. In conclusion, three numerical examples are offered to demonstrate the practicality and usefulness of the proposed design techniques.

Keywords: Integral sliding-mode control; H∞control; Disturbance observer; Multi-agent systems (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:174:y:2023:i:c:s0960077923006343

DOI: 10.1016/j.chaos.2023.113733

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