Quantized feedback control for 2D uncertain nonlinear systems with time-varying delays in a networked environment

Peng, Dan; Xu, Hongshuang

doi:10.1007/s40314-022-01803-8

Cited by 6 publications

(1 citation statement)

References 41 publications

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“…It is well accepted that having a CLF for all subsystems can ensure the stability of switched systems with arbitrary switching (Zhu et al, 2020). As a result, the CLF technique has been widely used in the development of controllers and in the stability analysis of switched systems (Aleksandrov et al, 2011; Moulay et al, 2007; Peng and Xu, 2022). Finally, several outstanding results for switched systems with arbitrary switching have been reported (Bali et al, 2022; Fainshil et al, 2009; Zhai et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Hybrid neural network control design for uncertain switched nonlinear systems with external disturbances: Application to ship maneuvering system

Bali

Singh

Kumar

2023

Transactions of the Institute of Measurement and Control

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In this work, the problem of hybrid neural network control for a class of switched uncertain nonlinear systems in strict-feedback form is considered. To approximate unknown nonlinear functions, an improved whale optimization algorithm (IWOA)-based hybrid neural network controller is introduced. Based on hybrid neural network approximation ability, a new hybrid neural network controller is constructed via the backstepping technique and the common Lyapunov function (CLF) is used for the stability analysis of the proposed model. The suggested method ensures that all signals in the closed-loop system are semi-global uniform ultimate bounded (SGUUB), and the tracking error converges to a small neighborhood of zero. Finally, the proposed scheme is applied to a ship maneuvering system and a numerical example to verify its effectiveness.

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