Application of additional momentum in PID neural network
- Resource Type
- Conference
- Authors
- Shu, Hua; Xu, Yuan-kun
- Source
- 2014 4th IEEE International Conference on Information Science and Technology Information Science and Technology (ICIST), 2014 4th IEEE International Conference on. :172-175 Apr, 2014
- Subject
- Robotics and Control Systems
Signal Processing and Analysis
Neural networks
Neurons
Simulation
PD control
Training
Stability analysis
PIDNN
initial weight
momentum factor
stability
- Language
- ISSN
- 2164-4357
PID neural network (PIDNN) is a new type of feed-forward neural network which has been found by Huai-lin Shu, in which neural network is integrated with PID control law. The priori knowledge of PID control can be used to choose the initial weights to make sure that PIDNN control systems are initial stable. Without priori knowledge and using the random initial weights, initial stable of the PIDNN system may be uncertain. The paper proposes an improved algorithm which has momentum factor to overcome the local minimum of the PIDNN. The distinct improvement of the PIDNN control system is proved by simulation results.