Biao Tian, Xingling Shao, Wei Yang, Wendong Zhang
Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China; National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.
Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China; National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.
ISA Trans. 2021 May;111:82-95. doi: 10.1016/j.isatra.2020.11.007. Epub 2020 Nov 17.
This paper presents a fixed time containment protocol within output feedback framework for uncertain nonlinear multiagent systems (MASs) exposed to unknown leader dynamics under switching communication topologies. To characterize dynamic communication links among agents in uncertain environments, a Markov jumping process with partially known transition probability is introduced to circumvent the difficulties of requiring the exact elements of transition rates as a prior. Then, in order to eliminate the necessity of broadcasting local velocity states between neighboring agents over the wireless and reject the comprehensive uncertainties including unknown model nonlinearities, external disturbances as well as switching topology jumps, a fixed time extended state observer (FTESO) only using the relative position information as input data is established for follower agents to achieve a uniform fast and precise estimation capability. A fixed time output feedback containment protocol by means of observer is presented to ensure that individual follower is guided into the geometric area constituted by a fleet of unknown leaders with a consistent convergence time irrelevant of initial conditions. The outstanding features of the developed algorithm are threefold: First, a prescribed fixed time containment consensus with reduced communication burden and enhanced robustness can be implemented. Second, a Markov jumping process with a partially known transition probability is considered to stimulate switching communication topologies. Third, a FTESO is constructed for each agent to realize a fixed-time estimation without requiring accurate modeling information. Finally, the fixed time stabilization of cascaded system is illuminated by applying the Lyapunov-based methods and bi-limit homogeneity. Simulation examples validate the feasibility and strengths of developed control protocol.
本文提出了一种在输出反馈框架内的固定时间约束协议,用于切换通信拓扑下受未知领导者动态影响的不确定非线性多智能体系统(MASs)。为了刻画不确定环境中智能体之间的动态通信链路,引入了一种具有部分已知转移概率的马尔可夫跳跃过程,以规避事先需要精确转移率元素的困难。然后,为了消除相邻智能体之间通过无线广播局部速度状态的必要性,并抑制包括未知模型非线性、外部干扰以及切换拓扑跳跃在内的综合不确定性,为跟随智能体建立了一种仅使用相对位置信息作为输入数据的固定时间扩展状态观测器(FTESO),以实现统一的快速精确估计能力。提出了一种基于观测器的固定时间输出反馈约束协议,以确保每个跟随者在与初始条件无关的一致收敛时间内被引导到由一群未知领导者构成的几何区域。所开发算法的突出特点有三个方面:第一,可以实现具有降低通信负担和增强鲁棒性的规定固定时间约束一致性。第二,考虑具有部分已知转移概率的马尔可夫跳跃过程来模拟切换通信拓扑。第三,为每个智能体构建一个FTESO,以实现无需精确建模信息的固定时间估计。最后,通过基于李雅普诺夫的方法和双极限齐次性说明了级联系统的固定时间稳定性。仿真示例验证了所开发控制协议的可行性和优势。