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Robust model-based control of uncertain dynamical systems: a fuzzy set theory based approach

机译:基于不确定模型的鲁棒模型控制:基于模糊集理论的方法

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Much of control theory is predicated upon mathematical models for physical systems. In Ghalia (1990, 1996), a new fuzzy model representation of uncertain nonlinear dynamical systems has been developed. The novel fuzzy modeling technique does not impose restrictive assumptions on system uncertainty. In this paper, we propose a robust fuzzy control scheme for a class of nonlinear uncertain systems. The proposed robust fuzzy control design approach is developed based on a fuzzy model representation of nonlinear uncertain systems and extends sliding mode control design techniques to include dynamical fuzzy models.
机译:许多控制理论都基于物理系统的数学模型。在Ghalia(1990,1996)中,已经开发了一种新的表示不确定非线性动力学系统的模糊模型。新颖的模糊建模技术不会对系统不确定性施加限制性假设。在本文中,我们为一类非线性不确定系统提出了一种鲁棒的模糊控制方案。基于非线性不确定系统的模糊模型表示,提出了鲁棒的模糊控制设计方法,并将滑模控制设计技术扩展到动态模糊模型。

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