Zhou Chao, Mao Zehui, Xu Liang, Jiang Bin
IEEE Trans Cybern. 2024 Oct;54(10):6217-6229. doi: 10.1109/TCYB.2024.3419830. Epub 2024 Oct 9.
This article investigates adaptive output formation tracking control of nonlinear multiagent systems with time-varying actuator faults and unknown nonidentical control directions under double semi-Markovian switching topologies. Considering the dynamic changes of communication connections in uncertain environments, a double semi-Markov process is first introduced into the leader-follower structure to describe the random switching of communication topologies. Then, a novel adaptive distributed fault-tolerant output formation tracking control framework is established using the backstepping and Nussbaum gain technique to address matched/mismatched uncertainties and disturbances, time-varying actuator faults, and unknown nonidentical control directions. In this control framework, the independent variable of the Nussbaum function is designed as a non-negative function that monotonically increases with respect to time, thereby overcoming the presence of the absolute value of its derivative in the integration process. Based on the distributed structure, an adaptive fault-tolerant controller is further proposed to achieve the asymptotic output formation tracking in mean-square sense. The stability of the closed-loop nonlinear multiagent systems is analysed through the contradiction argument and Lyapunov theorem. The simulation example verifies the effectiveness of the proposed control strategy.
本文研究了在双半马尔可夫切换拓扑下具有时变执行器故障和未知非相同控制方向的非线性多智能体系统的自适应输出编队跟踪控制。考虑到不确定环境中通信连接的动态变化,首先将双半马尔可夫过程引入到领导者-跟随者结构中,以描述通信拓扑的随机切换。然后,利用反步法和努斯鲍姆增益技术建立了一种新颖的自适应分布式容错输出编队跟踪控制框架,以解决匹配/不匹配不确定性和干扰、时变执行器故障以及未知非相同控制方向等问题。在该控制框架中,将努斯鲍姆函数的自变量设计为一个随时间单调增加的非负函数,从而克服了其导数绝对值在积分过程中的存在。基于分布式结构,进一步提出了一种自适应容错控制器,以在均方意义下实现渐近输出编队跟踪。通过反证法和李雅普诺夫定理分析了闭环非线性多智能体系统的稳定性。仿真例子验证了所提控制策略的有效性。