Dynamic event-triggered adaptive predefined accuracy consensus control for stochastic interconnected multi-agent systems

This paper addresses an adaptive output feedback consensus control issue of stochastic interconnected nonlinear multiagent systems with predefined accuracy based on an event triggering method. Unlike the existing reports, the output feedback control problem is first discussed for stochastic nonlinear interconnected multiagent systems in presence of predefined accuracy plan. The Nussbaum function is introduced for plants to overcome unknown control coefficients. And some fuzzy logic systems are utilized to handle the unknown items. In addition, to save resource consumption, a dynamic event-triggered methodology is involved to cut down the number of controller changes. By means of the backstepping method, a required distributed controller is designed to maintain that the tracking errors gather to a preset value. Lastly, two simulation conclusions prove the suitable for the developed approach.