Distributed Adaptive Tracking Control for Unknown Nonlinear Networked Systems  

作　　者：PENG Jun-Min WANG Jia-Nan YE Xu-Dong 

机构地区：[1]College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China [2]Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando FL 32826, USA

出　　处：《自动化学报》2013年第10期1729-1735,共7页Acta Automatica Sinica

基　　金：Supported by National Natural Science Foundation of China （61273134）

摘　　要：在这份报纸，我们为易于一个积极领导人，其仅仅说罐头的非线性的不明确的联网的系统的一个类调查合作追踪问题部分被测量，输入隧道也被扰乱。由神经网络(NN ) 的优点技术，追随者的动力学适当地在某些基础功能上被建模，他们的输入隧道被假定也被扰乱。在这个工作，基于观察员的适应控制为可以有非相同的动力学的非线性的联网的系统被建议。它被适当地在一些图状况下面选择参数经由 Lyapunov 理论(UUB ) 显示出全面系统最终一致地合作地被围住。最后，几数字模拟为建议适应控制器的确认被详细描述。In this paper, we investigate the cooperative track- ing problem for a class of nonlinear uncertain networked systems subject to an active leader, whose state can merely be partially measured and input channel is disturbed as well. By virtue of neural network （NN） technique, the dynamics of followers are properly modeled on certain basis functions and their in- put channels are assumed to be disturbed as well. In this work, an observer-based adaptive control is proposed for the nonlinear networked systems which may have non-identical dynamics. It is shown via Lyapunov theory that the overall system is coop- eratively uniformly ultimately bounded （UUB） by appropriately choosing the parameters under some graph condition. In the end, several numerical simulations are elaborated for validation of the proposed adaptive controller.

关 键 词：非线性网络系统 自适应跟踪控制 LYAPUNOV理论 分布式 自适应控制器 一致最终有界 网络化系统 动力非线性 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置] TN948.13[自动化与计算机技术—控制科学与工程]