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Nonlinear control using evolutionary fitness functions based on scaling transformations

机译:基于缩放变换的进化健身功能的非线性控制

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In evolutionary computation, for such applications as intelligent systems, it is especially important to improve the evolution level by establishing a self-adaptive fitness function expression that can maintain group diversity and convergence properties while enhancing the evolutionary speed and performance. This paper employs a simple model for the fitness function, based upon scaling transformations, and applies the approach to the design of nonlinear controllers, and in particular, the generalized ANFIS control structure. The scaling transformation uses the minimum, maximum and average value of the fitness function at each generation in tuning the transformation parameters. Results indicate that the fitness function based on these transformations is an attractive approach for improving system performance, even under plant parameter variations and system noise.
机译:在进化计算中,对于智能系统的这种应用,通过建立自适应健身功能表达来改善进化水平尤为重要,可以维持群体分集和收敛性,同时提高进化速度和性能。本文采用了一个简单的适用功能模型,基于缩放变换,并应用了非线性控制器设计的方法,特别是广义的ANFIS控制结构。缩放变换使用在调整变换参数时每代的健身功能的最小值,最大值和平均值。结果表明,基于这些变换的健身功能是一种有吸引力的方法,即使在植物参数变化和系统噪声下也是提高系统性能的有吸引力的方法。

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