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Adaptive Neural Control Approach for Switched Nonlinear Discrete-Time Systems With Actuator Faults and Input Dead Zone

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  • Ymnah Alruwaily
  • Mohamed Kharrat
  • Rigoberto Medina

Abstract

In this paper, an adaptive control strategy is developed for discrete-time switched nonlinear systems with actuator faults and dead-zone input under arbitrary switching conditions. The actuator faults considered include loss-of-effectiveness and bias faults, which are unknown but bounded. The complex structure of these systems, combined with actuator faults and dead-zone inputs, presents significant challenges for control and this problem is addressed by approximating the unknown functions of each subsystem using radial basis function neural networks. Under arbitrary switching signals, the suggested controller and adaptive laws ensure that all signals remain bounded and the system output tracks the reference signal with a small bounded tracking error. The efficiency of the control technique is proven by two numerical examples.

Suggested Citation

  • Ymnah Alruwaily & Mohamed Kharrat & Rigoberto Medina, 2025. "Adaptive Neural Control Approach for Switched Nonlinear Discrete-Time Systems With Actuator Faults and Input Dead Zone," Discrete Dynamics in Nature and Society, Hindawi, vol. 2025, pages 1-13, January.
    • Handle: RePEc:hin:jnddns:2364395
    DOI: 10.1155/ddns/2364395
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