Fuzzy logic control has become an important methodology in control engineering. This volume deals with applications of fuzzy logic control in various domains. The contributions are divided into three parts. The first part consists of two state-of-the-art tutorials on fuzzy control and fuzzy modelling. Surveys of advanced methodologies are included in the second part. These surveys address fuzzy decision making and control, fault detection, isolation and diagnosis, complexity reduction in fuzzy systems and neuro-fuzzy methods. The third part contains application-oriented contributions from various fields, such as process industry, cement and ceramics, vehicle control and traffic management, electromechanical and production systems, avionics, biotechnology and medical applications. The book is intended for researchers both from the academic world and from industry.
Tutorials - an overview of fuzzy modelling and model-based fuzzy control, R. Babuska; fuzzy control - from heuristic PID to optimization-based nonlinear control, K.-E. Arzen and M. Johansson; surveys on advanced methodologies - neuro-fuzzy methods, D. Nauck; complexity reduction methods for fuzzy systems design, M. Setnes; fuzzy decisions for control systems, U. Kaymak; fuzzy techniques in fault detection, isolation and diagnosis, P.M. Frank and T. Marcu; applications - high level process control in the cement industry by fuzzy logic, J.-J. Ostergaard; fuzzy logic for paper and pulp management, H. Hellendoorn; implementing fuzzy control in the manufacture of washing powders, M. Setnes; semi-mechanistic modelling and its application to biochemical processes, H.A.B. te Braake et al; fuzzy control of a filling system in packaging machinery, C. Fantuzzi and F. Basissi; fault detection and diagnosis of electro-mechanical drives and actuators, R. Isermann and D. Fuessel; fuzzy logic for traffic management and control, H. Hellendoorn; fuzzy modelling and control in avionics, G. Schram et al; medical applications of fuzzy logic control, D.A. Linkens and M.F. Abbod; linear design approach to a fuzzy controller, J. Jantzen.
