Fuzzy modeling - a control engineering perspective

Recent advances in the theory of fuzzy modeling and a number of successful real-world applications show that fuzzy models can be efficiently applied to complex nonlinear systems untractable with standard linear methods. Besides the capability of modeling nonlinear systems, there are other properties that make fuzzy models interesting not only theoretically but also for the industrial practice. This paper attempts to overview various approaches to fuzzy modeling, seen from the control engineering perspective. Special attention is focused on the construction of fuzzy models from numerical data and the possibility of incorporating a priori knowledge about the system and some open problems are highlighted.<<ETX>>