Event-Triggered Adaptive Neural Network Control for State-Constrained Pure-Feedback Fractional-Order Nonlinear Systems with Input Delay and Saturation

In this research, the adaptive event-triggered neural network controller design problem is investigated for a class of state-constrained pure-feedback fractional-order nonlinear systems (FONSs) with external disturbances, unknown actuator saturation, and input delay. An auxiliary compensation functi...

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Autori principali:	Changhui Wang, Jiaqi Yang, Mei Liang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-04-01
Serie:	Fractal and Fractional
Soggetti:	nonlinear system event-triggered control BLF constraints input delay
Accesso online:	https://www.mdpi.com/2504-3110/8/5/256
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