Wavelet Neural Network based adaptive event triggered control scheme for a class of nonlinear systems with uncertain dynamics

• Autorzy: Kulkarni Ajay , Soni Nitesh Kumar , Kapil Neha , Puntambekar Sachin

Identyfikatory

DOI

10.24425/ijet.2025.153574

• Języki publikacji: EN

Abstrakty

EN

In this paper, an adaptive event-triggered control approach for a class of unknown dynamics networked stringent feedback nonlinear systems is developed. The approximation of system uncertainties by a wavelet neural network (WNN) frequently presents a significant obstacle in the development of a precise control strategy. In order to guarantee the specified system performance and Zeno-free behaviour of networked control systems, we build an adaptive event triggering mechanism that is enhanced with WNN and outfitted with predetermined event triggering circumstances. In order to ensure the uniform ultimate boundedness (UUB) of all closed loop signals, the controller works to reduce the amount of information exchanged between the sensor and the controller. We offer numerical simulations to demonstrate the efficiency of the suggested plan.

Słowa kluczowe

EN

Networked control systems; Event triggered control; Zeno behaviour; Wavelet neural network

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2025
• Tom: Vol. 71, No. 1
• Strony: 301--308
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Kulkarni Ajay

• Medi-Caps University, Indore

autor

Soni Nitesh Kumar

• Medi-Caps University, Indore

autor

Kapil Neha

• Medi-Caps University, Indore

autor

Puntambekar Sachin

• Medi-Caps University, Indore

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).