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Fuzzy Control of Inverter Pendulum Robot via Perturbed Time-Delay Affine T-S Fuzzy Models

机译:基于扰动时滞仿射T-S模糊模型的变频摆机器人模糊控制

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This paper presents a robust fuzzy control method, combining affine Takagi-Sugeno (T-S) fuzzy models and H?? performance constraints, for stability analysis and controller design of an inverted pendulum robot to simulate human stance. The inverted pendulum robot proposes that it is beneficial for the stance leg to behave like a pendulum. As mentioned above, in this paper, the T-S fuzzy model is used to describe a nonlinear inverted pendulum robot system with perturbations and time delays. Moreover, some sufficient conditions are derived on robust H?? disturbance attenuation in which both robust stability and a prescribed performance are achieved, simultaneously. Finally, a numerical simulation for the nonlinear inverted pendulum robot system is given to show the applications of the present design approach.
机译:本文介绍了一种稳健的模糊控制方法,结合亚光Takagi-Sugeno(T-S)模糊模型和H ??性能约束,用于模拟人类姿势的稳定性分析和控制器设计。倒挂摆机器人提出,它对姿态腿表现得与摆锤有益。如上所述,在本文​​中,T-S模糊模型用于描述具有扰动和时间延迟的非线性倒立摆机器人系统。此外,在鲁棒H 扰动衰减中得出了一些充分的条件,其中同时实现了鲁棒稳定性和规定性能。最后,给出了非线性倒立摆机器人系统的数值模拟,以显示目前设计方法的应用。

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