A novel indirect adaptive controller based on dynamic recurrent fuzzy neural network (DRFNN) is proposed for affine nonlinear system.
针对仿射非线性系统，提出了一种新型的基于动态递归模糊神经网络(DRFNN)的间接自适应控制器。
The experimental results show that the adaptive controller based on DRFNN can make electro-hydraulic position tracking system more robust and obtain satisfactory tracking performance.
实验结果表明：基于DRFNN的自适应控制器可使电液位置跟踪系统具有较强的鲁棒性和满意的跟踪性能。
The experimental results show that the adaptive controller based on DRFNN can make electro-hydraulic position tracking system more robust and obtain satisfactory tracking performance.
实验结果表明：基于DRFNN的自适应控制器可使电液位置跟踪系统具有较强的鲁棒性和满意的跟踪性能。
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