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An improved Lyapunov function based stability analysis method for fuzzy logic control systems

机译:一种改进的基于Lyapunov函数的模糊逻辑控制系统稳定性分析方法

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Many existing stability analysis methods for fuzzy logic control systems like TS fuzzy model based methods usually tackle plants that are linear with respect to control. The paper proposes a method which does not have such restriction. The proposed method employs a Lyapunov function to prove the stability of the non-linear fuzzy logic control system. An illustrative example is given to demonstrate the ability of the method. The plant in this example has a control signal function composed of piecewise linear functions, saturation functions and a deadband.
机译:用于模糊逻辑控制系统的许多现有稳定性分析方法(例如基于TS模糊模型的方法)通常解决相对于控制呈线性的工厂。本文提出了一种没有这种限制的方法。该方法利用李雅普诺夫函数证明了非线性模糊逻辑控制系统的稳定性。给出一个说明性的例子来证明该方法的能力。该示例中的设备具有由分段线性函数,饱和函数和死区组成的控制信号功能。

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