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Generation of differentiable homomorphism function based on self-organizing polynomial data-mining algorithm

机译:基于自组织多项式数据挖掘算法的可微同态函数的生成

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This paper presents a new controller design method based on the data-mining polynomial algorithm. We show application of a polynomial data-mining algorithm to controller design, where an input-state linearized polynomial vehicle model is developed for a very low speed operation and without introducing any process with fudge factor, control inputs of nonlinear system are obtained in the original coordinate. We verify the developed modeling method and controller design method through some numerical experiments.
机译:本文提出了一种基于数据挖掘多项式算法的新型控制器设计方法。我们展示了多项式数据挖掘算法在控制器设计中的应用,其中针对低速运行开发了输入状态线性化多项式车辆模型,并且在不引入任何带有软化系数的过程的情况下,获得了非线性系统的控制输入协调。我们通过一些数值实验验证了所开发的建模方法和控制器设计方法。

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