Soft Computing Method Based on Thom''s Catastrophe Theory

Technical development in industry requires a harmony between the controlled process, the control system and the human. This requirement needs to use safety and fast bi-directional communication. The tool for this goal is the efficient and accurate real-time control. Some technologies consist of extremely fast and extremely slow processes. Extremely fast processes require high-powered data collection and data conversion, high-speed process control system with extremely short real-time cycle, high computational capability, and high memory capacitance. Extremely slow processes require continuous communication with the process to perceive slow and fine changes, ability to distinguish a finite state of process from any temporary state of process, and capability to recognize and evaluate the relatively faster short- time events. The goal of this work is to develop a new method to achieve higher efficiency and safety in controlling of large-scale systems by Thom's catastrophe theory. The new method will be introduced by a large-scale system, the steam production technology which includes extremely fast and extremely slow processes.

Autorentext

L. Ormos, MSc: Studied Mechanical Engineering at University of Miskolc. PhD of Information Sciences at University of Miskolc. Development Engineer at Computer Manufactory VIDEOTON. Development Enginner at MEZ GÉP Nyíregyháza. Engineer at Paper Factory Nyíregyháza. College Professor at University College of Nyíregyháza, Hungary.