In order to improve the control precision, this paper proposes a control method based on RBF neural network and. Firstly discrete models is identification by ...
Based on the advantages of RBF and traditional PID, a novel PID controller based on the RBF neural network supervision control method (PID-RBF) is proposed.
The Study and Simulation of PID Control Based on RBF Neural Network. Chen Yi-fei ,XU Sen ,Cao Rui. School of Information Engineering, Yancheng Institute of ...
Chen, Y.F., Xu, S., Cao, R. and Zhou, T. (2011) The Study and Simulation of PID Control Based on RBF Neural Network. Proceedings of 2011 International ...
The comparison of simulation results that PID control that is added to the RBF neural network can track the reference signal more effectively, ...
The simulation results shows that the PID controller designed based on the RBF neural networks has good control performance on the steam generator level control ...
In this section, using the PID control principle based on RBF neural network makes simulation for DC motor in MATLAB. Parameters of the system for simulation ...
Neural network with arbitrary nonlinear expression ability can realize the best PID control by system performance study, by RBF network, the self-learning PID ...
Jul 25, 2023 · The RBF-NPID control algorithm is proposed. The learning ability of RBF neural network is used to adjust NPID parameters online to improve the control ...
This paper proposes a quadrotor system control scheme using an intelligent–proportional–integral–differential control (I-PID)-based controller