Fuzzy Neural Network For State Estimation And Optimal Control in L-Isoleucine Fermentation

摘要

A state pre-estimation model of L-isoleucine fermentation is established by using neural network. The chemotaxis BP algortihm that can effectively overcome the local minimum is adopted for training the net. A neural network that equals a fuzzy system is applied for getting air flow to control dissovled oxygen the memership functions are determined by the net learning. A new control method based on neural networks and fuzzy logic is proposed. This scheme can fully make use ofexpert knowledge and is robutst for uncertainty in model and accurate with noise immunity.