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This doctoral dissertation explores event-triggered cluster control in multi-agent systems under multiple constraints, focusing on cooperative control strategies that optimize communication and resource usage. The research includes the development of switching event-triggered control methods, improved mechanisms for maintaining communication connectivity, and adaptive control strategies for UAV formations. The findings aim to address the challenges of complex tasks in practical applications of multi-agent s

Author

mozyleaf

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EN