Adaptive Fixed-Time Event-Triggered Consensus Tracking Control for Robotic Multiagent Systems

Abstract

In this article, an adaptive fixed-time event-triggered consensus tracking control strategy is proposed for the robotic multiagent systems (MASs). First, this article considers the robotic MASs rather than the single robotic manipulator system, which is of great research significance in practical applications. Then, the adaptive fixed-time control method within the backstepping technique is developed such that each robotic manipulator can track the ideal signal more quickly. Moreover, in the face of complex tasks, the communication resources of the robotic MASs are in short supply. By sampling the data from the original controller, the relative threshold event-triggered control (RTETC) strategy is adopted for each robotic manipulator system, which can ensure that all signals in the closed-loop system are bounded without the Zeno phenomenon. In the end, a simulation example is presented to demonstrate the validity of the proposed control strategy.