The strategy made full use of the nonlinear approximation of fuzzy logic and the self-adaptability of neural control.
该控制策略充分利用了模糊逻辑对非线性的逼近性和神经控制自适应的特点。
A new type of non linear self repairing control strategy based on model following method using radial basis function (RBF) neural networks is presented.
提出一种基于径向基函数(RBF)神经网络的模型跟随非线性自修复控制方法。
In this paper, a fuzzy control approach is used in the design of the control strategy of anti-skid braking systems, with self-regulation factors for optimization of the fuzzy control parameters.
本文将采用模糊控制设计防滑刹车的控制策略，并应用自调整因子算法对模糊控制的参数进行优化。
By using control strategy of parameter parameters self-turning fuzzy PID, lead secondary loop the automatic doing control offers excellent dynamic response and stable characteristic.
应用参数自整定模糊pid的控制策略，使自动加药控制具有很好的动态响应和稳态特性。
Based on the thought of inverse system control, a method of on-line self-learning control strategy was proposed, which combines inverse control based on RBF neural network with PID control.
基于逆动力学控制的思想，提出一种RBF神经网络逆控制与PID控制相结合的在线自学习控制方案。
Due to the nonlinearity of the robot system, position controller USES the parameter self-adjusting fuzzy control strategy, which assures good pose regulating power.
针对清刷机器人水下作业的非线性特点，采用参数自调整模糊控制策略设计了位置模糊控制器，保证了机器人具有良好的姿态调节能力。
We stress on video transmission as well as the study and design of self-adaptive transmitted control strategy and particular design of each subsystem.
论文重点讨论了视频传输及其自适应传输控制策略算法研究设计以及该系统的各个子系统的结构及软件上的详细设计。
An adaptive neural sliding mode control strategy with the self-tuning of robust item coefficients is proposed for the trajectory tracking of non-holonomic wheeled mobile robots.
针对非完整移动机器人的轨迹跟踪控制问题，提出了一种鲁棒项系数自调整的神经网络滑模自适应控制策略。
Therefore, it is urgent and significant to study the self-tuning strategy of AC servo system control parameters to improve the efficiency and performance of servo systems.
进行交流伺服系统控制参数自整定策略研究，是提高伺服系统运行效率和性能的迫切需要，具有重要意义。
Therefore, it is urgent and significant to study the self-tuning strategy of AC servo system control parameters to improve the efficiency and performance of servo systems.
进行交流伺服系统控制参数自整定策略研究，是提高伺服系统运行效率和性能的迫切需要，具有重要意义。
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