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首页> 外文期刊>Cybernetics, IEEE Transactions on >Fully Adaptive Practical Time-Varying Output Formation Tracking for High-Order Nonlinear Stochastic Multiagent System With Multiple Leaders
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Fully Adaptive Practical Time-Varying Output Formation Tracking for High-Order Nonlinear Stochastic Multiagent System With Multiple Leaders

机译:具有多个领导者的高阶非线性随机多算系统的完全自适应实用时变输出追踪

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摘要

Fully adaptive practical time-varying output formation tracking issues of high-order nonlinear stochastic multiagent systems with multiple leaders are researched, where the adaptive fuzzy-logic system (FLS) is introduced for estimating the mismatched integrated uncertain items. Distinctive with former results, stochastic noise is considered in the dynamics, and the followers are required for achieving the time-varying output formation tracking in probability of the convex combination of the leaders' outputs. First, a fully adaptive practical time-varying output formation tracking protocol is put forward, which only utilizes the neighboring relative information, and the global interaction topology information is not used. Besides, the designed protocol employs the adaptive FLSs to estimate the mismatched uncertainties of the followers and the leaders, and the uncertain boundary functions of the stochastic noise. Then, the design process of control protocol and parameter adaptive update law is summarized within four steps in an algorithm. Third, the stability and the properties of the proposed protocol and algorithm are analyzed by employing the Lyapunov theories and stochastic stability theories. Finally, numerical simulation results illustrate the effectiveness of achieved protocol and algorithm.
机译:研究了具有多个领导者的高阶非线性随机多算和具有多个领导者的高阶非线性随机多算和多读数的完全自适应实用时变量形成问题,其中引入了自适应模糊逻辑系统(FLS),用于估计不匹配的集成不确定物品。具有以前的结果,在动力学中考虑随机噪声,并且需要追随者来实现领导物输出的凸起组合的概率时变化的输出形成跟踪。首先,提出了完全自适应的实用时变输出形成跟踪协议,其仅利用相邻的相对信息,并且不使用全局交互拓扑信息。此外,所设计的协议采用自适应液体来估计追随者和领导者的不匹配不确定性,以及随机噪声的不确定边界功能。然后,控制协议和参数自适应更新定律的设计过程总结在算法中的四个步骤中。第三,通过采用Lyapunov理论和随机稳定性理论来分析所提出的协议和算法的稳定性和性质。最后,数值模拟结果说明了实现协议和算法的有效性。

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