Lonwork Intelligent Home Network Development And Information Intelligence Processing Node Intelligent Control

With the rapid development of computer network communication technology, intelligent control technology and information technology, and people's improving requirements for living quality, requirements of connecting all kinds of home appliances into a network and make them intelligent are raised by people. So researches on intelligent home network have important signification.In the research project 'Development of Lonwork intelligent home network and intelligent process of information', my main research direction is: Intelligent control method of network node. The purpose of researching intelligent control method of network node is to explore the better intelligent control method, in order to improve intelligent level of home network.This article introduces development and status of intelligent home network, Lonworks intelligent home network, and intelligent control methods inchluding fuzzy logic, neural network and fuzzy neural network.And a new fuzzy control method--fuzzy control with real-time self-adaptiverule modification algorithm based on error convergence is proposed in this article. The research on this new method is carried on. The research method is based on related front-line theories including fuzzy logic theory, and optimization theory.In order to validate the feasibility of this modification algorithm, a math model of discrete control system is built, and a fuzzy control simulation system with this modification algorithm is built by using simulation software Matlab 6.5. And then a lot of simulation contrastvie experiments are done.The experiment method is to on-line modify the control value, control number, and control pace of transition processes that needed to modify. The experiment target is to find a rule modification algorithm that makes overshoot smaller, convergence speed quicker.In the simulation experiments, four groups of simulation contrastive experiments based on different experiment goals are designed. The best modification method of this algorithm is gained by doing these experiments. The experiment result shows that by adding this modification algorithm into normal fuzzy controller, overshoot of transition process that system responds to the step signal will be further decreased, and convergent speed will be further increased.