Ifac Proceedings VolumesBadr, A.Z. Neural Network Based Adaptive PID Controller. IFAC Proc. Vol. 1997, 30, 251-257.Badr A Z. Neural Network Based Adaptive PID Controller[A]. 1997.Badr, A.Z. Neural Network Based Adaptive PID Controller. IFAC Proc. Vol. 1997, 30, 251-257. [CrossRef]
Lower, M. and Tarnawski, W. (2015). Quadrotor navigation using the PID and neural network controller, Theory and Engineering of Complex Systems and Dependability Advances in Intelligent Systems and Computing, vol. 365, pp. 265-274.M. Lower, W. Tarnawski, Quadrotor navigation using the PID ...
Furthermore, a servo-electric cylinder model was established for the BP neural network PID controller in Matlab/Simulink. An integrated mechanical model of the entire machine was established in Adams software. The simulation and experiment were conducted to compare the leveling control performance of ...
a neural network is used as the controller, it can operate as an on/off controlling switch and be trained to recognise when conditions change and adjust its control action accordingly. It can be considered to act rather like a relay on–off controller (seeSection 5.2.1). For example, a ...
This paper presents the use of a variable structure radial basis function (RBF) network for identification in PID control scheme. The parameters of PID control are on-line tuned by a sequential learning RBF network, whose hidden units and connecting para
RISE 控制器是一个PID,加上了一个 sgn 函数的积分项。 详细的RISE 控制器,写在了这个系列, dontpicnic:RISE controller (1) 下面使用神经网络+RISE控制器,来控制一个 2 link robot manipulator 动力学是这个样子 m(q)q¨+Vm(q,q˙)q˙+G(q)+F(q˙)+τd=τ ...
A Study on PID Control and Simulation Based on BP Neural Network This paper introduces the neural network PID control method, in which the parameters of PID controller is adjusted by the use of the self-study ability. An... FF Zhai,SL Ma,W Liu - 《Advanced Materials Research》 被引量:...
One of the key problems in designing such a controller is to develop an efficient training algorithm. Neural networks are usually trained using the output errors of the network, instead of using the output errors of the controlled plant. However, when a neural network is used to control a pla...
a通过RBF神经网络对PID控制器的整定,从而实现使直流伺服电机调速系统达到适应环境变化的目的。 Through RBF neural network to PID controller installation, thus realizes enables the direct-current servo electrical machinery velocity modulation system to achieve the adaptation environmental variation the goal. [...
a通过RBF神经网络对PID控制器的整定,从而实现使直流伺服电机调速系统达到适应环境变化的目的 Through RBF neural network to PID controller installation, thus realizes enables the direct-current servo electrical machinery velocity modulation system to achieve the adaptation environmental variation the goal[translate...