Neuro-fuzzy system for monitoring and control in industrial processes

Process control is an efficient means of improving the operation of a process, the productivity of the plant, and the quality of the products. In process engineering, even a small improvement in the operation of the process can have great economic and environmental influences. The manufacture of,such typical products as textiles and fibers, aircraft, automobiles, appliances, etc, involves a large number of complex processes most of which are characterized by highly nonlinear dynamics coupling a variety of physical phenomena in the temporal and spatial domains. It is not surprising, therefore, that these processes are not well understood and their operation is "tuned" by experience rather than through the application of scientific principles. In this paper is described a neuro-fuzzy system capable to monitor and control an industrial process.