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提出一种用于不确定性非线性系统的具有H~∞跟踪特性的神经网络(NN)适应控制器,使H~∞控制理论与NN有机地结合起来。该控制方案对NN学习的近似误差以及外部干扰有强的鲁棒性。对一类电液伺服系统的仿真研究表明了该控制方案的有效性。
A neural network (NN) adaptive controller with H ~ ∞ tracking characteristics for nonlinear systems with uncertainties is proposed to combine H ~ ∞ control theory with NN. The control scheme has strong robustness to approximate NN learning errors and external disturbances. The simulation research on a kind of electro-hydraulic servo system shows the effectiveness of this control scheme.