Smart robustness based on the fuzziness of uncertainties

A. Weinmann
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Abstract

The parameter uncertainties of the plant are considered as a fuzzy set. Designing the closed-loop control robustly, the controller parameters are selected referring to the membership function of the uncertainty and on the condition of guaranteed stability in the region of possible parameter uncertainties. For the sake of convenience, the design process is mapped to the space of the uncertain plant parameters although center-of-gravity defuzzification concerns the closed-loop parameters. The control problems are oriented on minimum disturbance feedforward under norm restriction of the controller matrix.
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基于不确定性模糊性的智能鲁棒性
将对象的参数不确定性视为一个模糊集。对闭环控制进行鲁棒设计,根据不确定性的隶属函数,在保证在可能的参数不确定性区域内的稳定性的条件下,选择控制器参数。为方便起见,重心解模糊化涉及闭环参数,但将设计过程映射到不确定装置参数的空间。控制问题是在控制矩阵范数约束下的扰动最小前馈问题。
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