This paper presents a novel nonlinear adaptive control method based on trajectory linearization control method (TLC) and neural networks.
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。
RBF Neural Networks (NN) based control strategy is proposed to compensate the disturbance moment.
提出了一种基于RBF网络扰动力矩补偿的控制技术。
Based on neural networks, a robust control design method is proposed for strict-feedback block nonlinear systems with mismatched uncertainties.
针对非匹配不确定性的严反馈块非线性系统，基于神经网络提出一种鲁棒控制方法。
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