基于T-S模糊模型的时变时滞非线性网络控制系统控制器设计

Linqin Cai, You Zhang, Jianrong Zhang, Binbin Liu
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引用次数: 1

摘要

针对时变时滞非线性网络控制系统(ncs)的控制器设计和稳定性分析,基于Takagi-Sugeno (T-S)模糊模型,提出了一种通过状态反馈实现非线性网络控制系统理想控制性能的控制器设计方案。根据李雅普诺夫方法,给出了控制律存在的充分条件。仿真结果表明,所提方法能有效地使闭环系统在所有允许时滞下渐近稳定,并能进一步保证具有时变时滞的非线性ncs的预期性能指标
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controller Design for Nonlinear Networked Control Systems with Time-varying Delay Based on T-S Fuzzy Model
To controller design and stability analysis for nonlinear Networked Control Systems (NCSs) with time-varying delay, based on the Takagi–Sugeno (T-S) fuzzy model, a controller design scheme was proposed to achieve desired control performance for nonlinear NCSs via state feedback. According to the Lyapunov method, the sufficient condition for the existence of the control law was presented. Simulation results show the proposed methods are effective to make the closed-loop system asymptotically stable for all admissible time delay and can further guarantee the expected performance index for nonlinear NCSs with time-varying delay
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