A neural network (400) is trained with a general set of data to function as a general model of a machine (10) or process with local condition inputs set equal to zero. The network (400) is then retrained or receives additional training on an extentd data set containing the general set...
V. Patel, Neural network based control schemes for flexible- link manipulators: simulations and experiments [J]. Neural Networks, 1998, 11(8):1357- ... HA Talebi,K Khorasani,RV Patel - 《Neural Networks》 被引量: 0发表: 1998年 A neural network based control strategy for flexible-joint ma...
神经网络学习控制NeuralNetworkbasedLearningControl 神经网络学习控制NeuralNetworkbasedLearningControl 7.1ReinforcementLearning(再励学习，自强式学习） 神经网络学习方法有三类：a)监督学习SupervisedLearning—例如BP—有明确的“教师”信号b)无监督学习UnsupervisedLearning—没有任何“教师”信号—只是通过输入数据的内部...
神经网络学习控制NeuralNetworkbasedLearningControl7.1ReinforcementLearning(再励学习,自强式学习) 神经网络学习方法有三类:a)监督学习SupervisedLearning—例如BP—有明确的“教师”信号b)无监督学习UnsupervisedLearning—没有任何“教师”信号—只是通过输入数据的内部信息相当自组织?类方法。—例如c)再励学习Reinforcement...
Neural network-based servo control system and methoddoi:CN102053628 AThe invention aims to improve the control accuracy of a servo system and provides a neural network model reference adaptive control method applied to the servo system. The nonlinearity of the servo system is effectively compensated,...
In this paper, a novel dynamic compensatory strategy based on radial basis function (RBF) neural network robust H controller is put forward for improving trajectory tracking accuracy of robot manipulators on account of modelling errors and external disturbances. The proposed strategy is effective to co...
Many BEL-based network controllers produce good performances in controlling dynamic systems [32], [33], [34], [35]. The control performance is expected to be greatly improved if the fast responsive ability can be integrated with the excellent nonlinear approximation ability. The control system is...
神经网络非线性系统控制( neural network control of robot manipulator and nonlinear system)收藏(0) 大小: 4.59MB 文件类型: .pdf 金币: 1 下载: 0 次 发布日期: 2023-11-12 语言: 其他 标签: 高速下载 资源简介 神经网路机器人机构及非线性系统控制,介绍了控制器的设计思路与稳定性证明,还是很详细的,...
For improving the dynamic quality and steady-state performance, the hybrid controller based on recurrent neural network (RNN) is designed to implement the position control of the magnetic levitation ball system in this study. This hybrid controller consists of a baseline controller, an RNN identifier...
virtual sensing: a neural network-based intelligent performance and emissions prediction system for on-board diagnostics and engine control system can predict real-time engine power output, fuel consumption and emissions using readily meas CM Atkinson,TW Long,EL Hanzevack - 《Simulation & Modeling》 ...