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Sampled-data fuzzy control with space-varying gains for nonlinear time-delay parabolic PDE systems

机译:具有非线性时滞抛物线PDE系统的空间变化增益的采样数据模糊控制

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摘要

This paper introduces a sampled-data fuzzy control (SDFC) with space-varying gains for nonlinear time-delay parabolic partial differential equation (PDE) systems. First, a Takagi-Sugeno (T-S) fuzzy time-delay parabolic PDE model is employed to represent the nonlinear time-delay PDE system. Second, with the aid of the T-S fuzzy time-delay PDE model, a SDFC design with space-varying gains is developed in the formulation of space-dependent linear matrix inequalities (LMIs) by constructing an appropriate Lyapunov functional, which can stabilize exponentially the time-delay PDE system. These stabilization conditions can be applied to either slowing-varying time delay or fast-varying one. Finally, simulation results on two examples are presented to demonstrate the effectiveness of the proposed method. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文介绍了一种采样数据模糊控制(SDFC),具有用于非线性时滞抛物面偏微分方程(PDE)系统的空间变化的增益。首先,采用Takagi-Sugeno(T-S)模糊时滞抛物面PDE模型来表示非线性时滞PDE系统。其次,借助于TS模糊时滞PDE模型,通过构建适当的Lyapunov功能,在制定空间依赖性线性矩阵不等式(LMIs)中开发了一种具有空间变化的增益的SDFC设计,这可以稳定指数稳定时滞PDE系统。这些稳定条件可以应用于变速变化的时间延迟或快速变化的条件。最后,提出了两个例子的模拟结果以证明所提出的方法的有效性。 (c)2019 Elsevier B.v.保留所有权利。

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