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- Fuzzy neural PID controller 模糊神经PID控制器
- Learning rate and neuron's scale factor of the neural PID controller are optimized by the simplex method. 摘要利用单此形法优化神经元PID控制器的学习速率和神经元比例系数。
- Fuzzy Neural Network Self-Adaptive PID Control for Undetermined Time Lag System 不确定时滞系统的模糊神经网络自适应PID控制
- Application of fuzzy neural network PID control in metallurgical valve position control system of industrial stove 模糊神经PID控制在工业炉冶金阀门位置控制系统中的应用
- Self-adaptive Neural PID Control for Temperature of Quench Furnace 淬火炉温度的自适应神经PID控制
- Research of Self Revising Neural PID Control of Water Level for the Nuclear Steam Generator 蒸汽发生器水位神经自校正控制研究
- Control theory application, such as PID control, digital control redesign, neural and fuzzy control, optimal and robust control. 以上之基础皆运用在控制系统的应用以及设计上。
- Fuzzy predictive PID controller based on output-error. 基于输出误差预测的模糊预测PID控制及应用。
- The paper further investigates the neural network PID controller. 论文深入研究了神经网络PID控制器。
- A new fuzzy neural network controller is designed in the winding machine. 在玻璃钢缠绕设备的控制系统中,设计了一种新型模糊神经网络控制器。
- This paper discusses the development and application of control technology based on active vibration control, included of PID control, self-adaptive control, fuzzy control, neural network control etc. 从基于主动振动控制中控制技术的角度论述了主动振动控制技术的发展和应用,其中包括PID控制、自适应控制、模糊控制、神经网络等控制方法;
- Investigation of the characteristics of pneumatic flexible-bending joint and its neural PID controlling algorithm 气动柔性弯曲关节的特性及其神经PID控制算法研究
- neural PID control 神经元PID控制
- Fuzzy neural netw ork is adopted to control the motion of rectifying mechanical device. 模糊神经网络用于控制纠偏机构的运动。
- Remote PID Controller of Hump Cab . 驼峰机车遥控PID控制器
- Thus fuzzy neural network controller based on fast RLS algorithm has a good prospect appliance in practice. 因此基于修正RLS算法的模糊神经网络控制器应用于实践中有着比较理想的前景。
- Integrating fuzzy neural network and PI controller,we ob-tained a fuzzy neural decoupled hybrid controller. 本文将模糊神经网络与PI控制技术相结合构成一种模糊神经解耦混合控制器。
- PID control keeps precise and stable temperature. 采用PID控制,使温度精确稳定。
- Thermal meter adopt PID control and SCR output. 可连接多种功能之附属设备.
- The fuzzy neural network (FNN) and reinforcement learning (RL) are integrated. 将模糊神经网络与强化学习理论相结合，构成模糊强化系统。
