首页> 外文会议>22nd Chinese Control and Decision Conference >On improved delay-dependent robust stabilization of Takagi-Sugeno fuzzy systems with state and input delays
【24h】

On improved delay-dependent robust stabilization of Takagi-Sugeno fuzzy systems with state and input delays

机译:具有状态和输入时滞的Takagi-Sugeno模糊系统的改进的时滞相关鲁棒镇定

获取原文

摘要

This paper investigates the robust delay-dependent stabilization problem for uncertain fuzzy systems with state and input delays which is more general fuzzy model. Taking Leibniz-Newton formula into account, sufficient matrix inequalities conditions for stabilization of such systems are derived via a novel Lyapunov- Krasovskii functional (LKF), which are dependent on the size of the delays and are based on the solutions of linear matrix inequalities (LMIs). Finally, numerical examples are included to show the effectiveness and improvement of the proposed method.
机译:本文研究了具有状态和输入时滞的不确定模糊系统的鲁棒时滞相关镇定问题,该系统是更通用的模糊模型。考虑到Leibniz-Newton公式,通过新型Lyapunov-Krasovskii泛函(LKF)导出了足以使此类系统稳定的矩阵不等式条件,该条件取决于延迟的大小并基于线性矩阵不等式的解( LMI)。最后,通过算例说明了该方法的有效性和改进。

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