Based Extension To Control The Simulation Study

The thesis introduces the theory frame of extension, the theory of extension set and matter element, the conception of matter element. Then relation function that is a very important notion and the basic concept of extension control is imported. The thesis discusses the structure, the theory and the design method of extension controller. By this method linear, large time-delay and non-linear objects are simulated whose system character variables are error and error differential. Results of simulation show extension control is of good control performance, self-learning ability and prospect. The improvement of the old algorithm is realized by the way that connects the PID control and the extension control. The simulation on non-liner object is researched by the improvement algorithm. Nextly, a newly extension control algorithm is given. Last the ideal of extension control and neural network is discussed.