Abstract: This paper presents a novel approach to Distributed
Adaptive Human-in-the-Loop Event-Triggered Formation Control
(DAHIL-ETFC) for Quadrotor Unmanned Aerial Vehicles
(QUAVs) under conditions of quantized communication.
The proposed framework integrates adaptive control strategies
with human intervention capabilities, enabling QUAVs to autonomously
form desired formations while adapting to dynamic
environmental changes. Utilizing event-triggered communication
protocols minimizes the frequency of information exchange, conserving
communication resources without compromising control
performance. Simulation results demonstrate the effectiveness
of the DAHIL-ETFC approach in achieving robust formation
control amidst communication constraints.
Submission Number: 222
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