School of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing, 400074, PR China.
College of Electronic and Information Engineering, Southwest University, Chongqing 400715, PR China.
Neural Netw. 2024 Apr;172:106090. doi: 10.1016/j.neunet.2023.12.044. Epub 2023 Dec 29.
The multiagent systems have shared broad application in many practical systems including unmanned aircraft clusters, intelligent robots, and intelligent transportation. However, many unexpected cyber-attacks may disturb or disrupt the normal communication of the agents, thus reducing the interacting efficiency of multiagent systems. Ever since the cyber-attacks have been proposed, the resilient control problem for multiagent systems has been intensively explored in light of the communication network growth. However, most of the consequences only focused on denial-of-service (DoS) attacks or deception attacks independently. Distinguished from the existing resilient control mechanisms, the current investigation represents the first attempt at designing an adaptive resilient controller for multiagent systems according to the sampled-based adaptive event-triggered manner, where denial-of-service (DoS) attacks and deception attacks are both considered. First, the hybrid cyber-attacks model and its impact on the closed-loop system are addressed. And then, an adaptive event-triggered strategy is proposed to reduce network resource consumption and ease the communication burden, where the designed adaptive law can automatically adjust the triggering threshold. Finally, the consensus state of multiagent systems is capable of achieving via a series of reasonable control rules formulated through Lyapunov functional approach despite suffering hybrid cyber-attacks. And a simulation example is given to substantiate the feasibility of the proposed method.
多智能体系统在许多实际系统中都有广泛的应用，包括无人机群、智能机器人和智能交通等。然而，许多意外的网络攻击可能会干扰或破坏代理的正常通信，从而降低多智能体系统的交互效率。自从网络攻击被提出以来，针对多智能体系统的弹性控制问题已经在通信网络发展的基础上得到了深入的研究。然而，大多数研究结果仅关注独立的拒绝服务（DoS）攻击或欺骗攻击。与现有的弹性控制机制不同，当前的研究首次尝试根据基于采样的自适应事件触发方式，为多智能体系统设计自适应弹性控制器，同时考虑拒绝服务（DoS）攻击和欺骗攻击。首先，研究了混合网络攻击模型及其对闭环系统的影响。然后，提出了一种自适应事件触发策略，以减少网络资源消耗和减轻通信负担，其中设计的自适应律可以自动调整触发阈值。最后，通过 Lyapunov 函数方法制定的一系列合理控制规则，多智能体系统能够在遭受混合网络攻击的情况下实现一致性状态。并通过仿真示例验证了所提方法的可行性。
