LAUSR

Asymmetrical multi-agent switching systems are hybrid systems with dynamic responses that are dependent on input direction and require multi-agent switching for IoT systems. In this research, a hybrid minimum principle is suggested to solve the optimal control problem of multi-agent switching in asymmetrical systems in order to accomplish intelligent switching between multi-agents for collaborative IoT systems with minimal communication overhead. The calculus of variations methodology is used to illustrate the essential conditions for optimality in Hamiltonian canonical form for asymmetrical multi-agent switching systems for IoT, and a comprehensive proof is provided. One analytical example indicates that the suggested hybrid minimum principle can solve the optimal control and switching times of the optimal control problem, demonstrating its validity for asymmetrical multi-agent switching systems.