The use of artificial intelligence techniques has been expanded to many engineering areas. Fuzzy systems, neural networks, genetic algorithms and, in general, soft computing techniques are regarded as alternatives for the solution of complex problems involving non-linear systems, optimisation and/or dealing with approximate knowledge. Fuzzy logic controllers are undoubtedly one of the most successful applications of fuzzy logic theory.
The issues covered in the Proceedings include:
Stability, robustness and adaptation
Learning and local models
Structures
Design methodologies
Heuristics vs. model based design
Applications in process control
Applications in robotics
In addition to the papers, this Proceedings includes a novel section which summarises ideas and conclusions on fuzzy logic controllers from the experts attending the IFAC Workshop.
