Finite-Time RBFNN-Based Observer for Cooperative Multi-Missile Tracking Control Under Dynamic Event-Triggered Mechanism

This paper proposes a hierarchical cooperative tracking control method for multi-missile formations under dynamic event-triggered mechanisms, addressing parameter uncertainties and saturated overload constraints. The proposed hierarchical structure consists of a reference-trajectory generator and a...

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Бібліографічні деталі
Автори:	Jiong Li, Yadong Tang, Lei Shao, Xiangwei Bu, Jikun Ye
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2025-07-01
Серія:	Aerospace
Предмети:	multi-missile formation radial basis function neural network (RBFNN) sliding-mode disturbance observer finite-time convergence event-triggered mechanism
Онлайн доступ:	https://www.mdpi.com/2226-4310/12/8/693
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Finite-Time RBFNN-Based Observer for Cooperative Multi-Missile Tracking Control Under Dynamic Event-Triggered Mechanism

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