Event-triggered based synergetic control for multi-agent system in continuous hot-pressing

Abstract

This paper addresses the challenges of slow convergence rate, low accuracy in consensus achievement, high energy consumption in synergetic control, and data security vulnerabilities in multi-agent systems. A novel finite-time synergetic control strategy based on event-triggered mechanisms is proposed and implemented for position tracking in cylinder arrays of continuous hot-pressing systems for artificial board manufacturing. Firstly, the system errors are used as ordinal parameters to construct new finite-time synergetic evolution equations with exponential convergence properties. Secondly, the adaptive threshold function associated with the system error is introduced to construct the dynamic threshold event triggering mechanism and the stability analysis of the two approaches is performed by using Lyapunov’s method, and the Zeno phenomenon is excluded. Finally, the approach is applied to a nonlinear multi-agent system with a fixed topology, while simulations in the context of a continuous hot-pressing system verify its effectiveness in complex industrial systems. Numerical simulation examples have demonstrated that compared with the traditional synergetic control system, the convergence speed is significantly improved, and the update frequency of the control signal is significantly reduced under the dynamic threshold mechanism, which verifies that the method has the dual advantages of both fast response and energy-saving and safety in industrial complex systems.