In this article, the event-triggered bipartite consensus problem for stochastic nonlinear multiagent systems (MASs) with unknown dead-zone input under the prescribed performance is studied. To surmount the influence of the dead-zone input, the dead-zone model is transformed into a linear term and a disturbance term. Meanwhile, the prescribed tracking performance is realized by developing a speed function, which means that all tracking errors of MASs can converge to a predefined set in a given finite time. Moreover, the unknown nonlinear dynamics are approximated by fuzzy-logic systems. By combining the dynamic surface approach and the Lyapunov stability theory, we design an adaptive event-triggered control algorithm, such that the bipartite consensus problem of stochastic nonlinear MASs can be achieved, and all signals are semiglobally uniformly ultimately bounded in probability of the closed-loop systems. Finally, simulation examples are proposed to verify the feasibility of the algorithm.

中文翻译：

---

事件触发策略下随机非线性多智能体系统的规定性能二分共识控制


本文研究了在规定性能下死区输入未知的随机非线性多智能体系统（MAS）的事件触发二分一致性问题。为了克服死区输入的影响，将死区模型转化为线性项和扰动项。同时，规定的跟踪性能是通过开发速度函数来实现的，这意味着MAS的所有跟踪误差可以在给定的有限时间内收敛到预定义的集合。此外，未知的非线性动力学可以通过模糊逻辑系统来近似。通过结合动态表面方法和Lyapunov稳定性理论，我们设计了一种自适应事件触发控制算法，可以实现随机非线性MAS的二分一致性问题，并且所有信号在闭环概率上半全局一致最终有界。循环系统。最后通过仿真算例验证了算法的可行性。