Fuzzy control rules base design

Problems with continual processes modeling are apparent upon solving multilevel control systems, where, besides an extensive procedure level of control, there exists another level of control responsible for a continuous optimization of the process. It is natural that it is necessary to improve quality of any production technology in a complex way, by means of replacing the technology itself, as well as by continuous optimization of operation, upon which it is inevitable to exploit not only exact theoretical means, but also practical experience, or heuristic procedures from the level of dispatcher control. It is just here, where new opportunities of using fuzzy controller are opening, as a compensation for a man in control and optimizing processes. Besides the above mentioned possibilities, the exploitation of fuzzy controllers in the practice is very widespread. For example, steam turbines, chemical reactors and cement operations control has successfully been solved. Using fuzzy controller for the acceleration of neurone networks learning can serve an example. The article deals with the issue of rules base design in the environs of Matlab.