...
首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Dynamic output-feedback control for nonlinear continuous-time systems based on parametric uncertain subsystem and T-S fuzzy model
【24h】

Dynamic output-feedback control for nonlinear continuous-time systems based on parametric uncertain subsystem and T-S fuzzy model

机译:基于参数不确定子系统和T-S模糊模型的非线性连续时间系统动态输出 - 反馈控制

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

This paper addresses the T-S fuzzy robust dynamic output-feedback control problem for a class of nonlinear continuous-time systems with parametric uncertainties and premise variables. First, based on the control input matrix and output matrix, the parametric uncertainties are assumed to be a subsystem, which is described as a linear fractional. Secondly, the nonlinear continuous-time systems are described by the Takagi-Sugeno (T-S) fuzzy model. Then the new dynamic output feedback controller is designed based on the T-S fuzzy model and the linear fractional (parametric uncertainties), and the sufficient conditions for robust stabilization are given in the form of linear matrix inequalities (LMIs). Compared with previous work, the developed methods not only have abilities to handle the fuzzy system with premise variables but also can deal with the parametric uncertainties effectively. The results are further extended to a mobile robot case and a chemical process case. Finally, numerical examples are performed to show the effectiveness of the theoretical results.
机译:本文解决了具有参数不确定性和前提变量的一类非线性连续时间系统的T-S模糊强大的动态输出反馈控制问题。首先,基于控制输入矩阵和输出矩阵,假设参数不确定性是子系统,其被描述为线性分数。其次,非线性连续时间系统由Takagi-Sugeno(T-S)模糊模型描述。然后,基于T-S模糊模型和线性分数(参数不确定度)设计了新的动态输出反馈控制器,并且以线性矩阵不等式(LMI)的形式给出了鲁棒稳定化的充分条件。与以前的工作相比,开发的方法不仅具有处理具有前提变量的模糊系统的能力,而且还可以有效地处理参数不实的不确定性。结果进一步扩展到移动机器人案例和化学工艺案例。最后,进行数值例子以显示理论结果的有效性。

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