基于轨迹线性化方法(TLC)及神经网络技术研究了一种新的直接自适应TLC控制方案。
This paper presents a novel nonlinear adaptive control method based on trajectory linearization control method (TLC) and neural networks.
在全状态反馈的前提下，设计了一种基于在线神经网络和反馈线性化的非线性直接自适应控制器。
A nonlinear direct adaptive controller based on online neural network and feedback linearization is designed by precondition of all state feedback.
与传统线性化的迭代反演比较，神经网络反演能够克服传统方法的不足、获得更好的反演结果。
Compared to the traditional iterative inversion method through linearization, the neural network inversion is able to overcome disadvantages of the traditional inversion and obtain better results.
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