首页> 外文期刊>Information Sciences: An International Journal >Non-fragile H-infinity, consensus tracking of nonlinear multi-agent systems with switching topologies and transmission delay via sampled-data control
【24h】

Non-fragile H-infinity, consensus tracking of nonlinear multi-agent systems with switching topologies and transmission delay via sampled-data control

机译:非易碎的H-Infinity,通过采样数据控制与交换拓扑和传输延迟的非线性多助手系统的共识跟踪

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, the sampled-data non-fragile H-infinity consensus tracking problem for Lipschitz nonlinear multi-agent systems with switching topologies and exogenous disturbances is investigated. Each possible interaction topology in the switching topologies set is assumed to contain a directed spanning tree. With introducing a sampled-data mechanism, the information is only capable of being aperiodically transmitted in the network at each sampling instant and unavoidably subject to a transmission delay. Then a protocol collecting the delayed sampled-data information from neighboring agents is proposed not only to provide robustness against some level of controller gain perturbations, but also to regulate consensus performance with an H-infinity disturbance attenuation level. By using tools from algebraic graph theory and Lyapunov-Krasovskii functional technique, it is proved that the concerned consensus tracking problem is solvable if the resultant consensus error system can be asymptotically stabilized. Simulation results verify the theoretical analysis. (C) 2019 Elsevier Inc. All rights reserved.
机译:本文研究了具有切换拓扑和外源干扰的Lipschitz非线性多蛋白系统的采样数据非脆弱H-Infinity共识跟踪问题。假设切换拓扑集中的每个可能的交互拓扑结构包含定向生成树。通过引入采样数据机制,该信息仅能够在每个采样瞬间在网络中进行非周期性地发送,并且不可避免地受到传输延迟。然后,提出了一种来自相邻代理的延迟采样数据信息的协议,不仅可以针对某些控制器增益扰动提供鲁棒性,而且还可以通过H-Infinity扰动衰减级别调节共识性能。通过使用代数图理论和Lyapunov-Krasovskii功能技术的工具,事实证明,如果所得的共识误差系统可以渐近稳定,有关的共识跟踪问题是可溶的。仿真结果验证了理论分析。 (c)2019 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号