1. Definite Neural Modeling Method for Time-varying Large Delay System
- Author
-
Pan Feng, Zuo Long, Zhi Ze-ying, Han Ru-cheng, and Liu Hong-bing
- Subjects
Identification (information) ,Nonlinear system ,Probabilistic neural network ,ComputingMethodologies_PATTERNRECOGNITION ,Quantitative Biology::Neurons and Cognition ,Artificial neural network ,Computer Science::Computational Engineering, Finance, and Science ,Control theory ,Computer science ,Time delay neural network ,Computer Science::Neural and Evolutionary Computation ,Training time ,Function (mathematics) - Abstract
A modeling method based on neuron and RBF neural network for time-varying delay system is presented. Neuron is applied to identify the delay of system; RBF neural network is used to identify other time-varying parameters, for delay has been separated from other parameters, so the structure of RBF neural network is simple, and the training of RBF neural network is quickly. These two neural methods is serial, and training with the same cost function. Because the training time is short, this method can be used in on-line identification of nonlinear delay system
- Published
- 2006