Li Yongming, Lu Ge, Li Kewen
IEEE Trans Cybern. 2025 Jan;55(1):2-13. doi: 10.1109/TCYB.2024.3456821. Epub 2024 Dec 19.
In this article, the fuzzy adaptive event-triggered consensus control issue is addressed for nonlinear multiagent systems (MASs) under output constraints and Denial of Service (DoS) attacks. First of all, fuzzy logic systems (FLSs) are utilized to approximate the unknown nonlinear functions. Then, a novel switching observer is constructed to observe the leader's state and handle DoS attacks. With the help of the exponent-dependent barrier Lyapunov functions (BLFs), the system output can be constrained within a preset region. Based on dynamic surface control (DSC) technique, the issue of computational complexity can be effectively avoided. Combining the designed switching observer and relative thresholds, a robust fuzzy adaptive event-triggered controller is developed, which ensures that the consensus output tracking errors converge to a small neighborhood of zero, and all signals in the closed-loop system keep bounded. Moreover, Zeno behavior can be avoided. Ultimately, simulation results are given to validate the feasibility and effectiveness of the proposed control strategy and theory.
本文针对存在输出约束和拒绝服务（DoS）攻击的非线性多智能体系统（MASs），研究了模糊自适应事件触发一致性控制问题。首先，利用模糊逻辑系统（FLSs）逼近未知非线性函数。然后，构造了一种新颖的切换观测器来观测领导者状态并应对DoS攻击。借助指数依赖型障碍Lyapunov函数（BLFs），可将系统输出约束在预设区域内。基于动态表面控制（DSC）技术，能有效避免计算复杂性问题。结合所设计的切换观测器和相关阈值，开发了一种鲁棒模糊自适应事件触发控制器，该控制器确保一致性输出跟踪误差收敛到零的一个小邻域内，且闭环系统中的所有信号保持有界。此外，还可避免芝诺行为。最后，给出仿真结果以验证所提控制策略和理论的可行性与有效性。
