Description: Chapter headings and selected papers: Plenary Paper 1. Future challenges for fuzzy-neural computing systems (M.M. Gupta). Plenary Paper II. Neurofuzzy state estimators and their applications (C.J. Harris, Zhi Qiao Wu). Fuzzy Controller. Genetic Algorithms and its Application. Multi-objective genetic algorithm based time and frequency domain design unification of linear control systems (K.C. Tan, Y. Li). Neural Network Applications. Real-Time Systems/Fuzzy Decision Making and its Application. A study on real-time artificial intelligence (E.B. Tay et al .). Plenary Paper III. Intelligent supervision and control of industrial processes (C.W. de Silva). Modeling and Control. Knowledge Based and Expert Systems. Interactive interfaces to detect conceptual difference for group knowledge acquisition (S. Nishida et al .). Intelligent Robotics and Systems. Diagnosis and Supervision I. The realisation of auto-tuning within the integrated process supervision architecture: a structured approach to expert control (C. Quek, C.K. Ho). Plenary Paper IV. A control engineer's view of artificial intelligence (H.E. Rauch). Pattern Recognition. Optimization and Identification. Fuzzy and Neuro-Fuzzy Techniques for Modeling and Identifications. Studying pharmacokinetics with partly fuzzified compartment models (K. Karba et al .). Predictive Control Using Fuzzy Logic and Artificial Neural Network. Identification of fuzzy models for predictive control of nonlinear time-variant processes (O. Nelles et al. ). Diagnosis and Supervision II. Intelligent Manufacturing and Power Management Systems.Control and Instrumentation.Optical fibre sensor for process tomography (R. Abdul Rahim, R.G. Green). Transfer Protocol and Routing. Author index.

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