Computers in Industry - Special issue: Soft computing in industrial applications
Fuzzy Clustering for the Identification of Hinging Hyperplanes Based Regression Trees
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Air management in a diesel engine using fuzzy control techniques
Information Sciences: an International Journal
Control of binary distillation column using fuzzy PI controllers
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Robust interval type-2 possibilistic C-means clustering and its application for fuzzy modeling
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
An intelligent model based on TS NARX for process prediction and daignosis rule extraction
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
SparseFIS: data-driven learning of fuzzy systems with sparsity constraints
IEEE Transactions on Fuzzy Systems
Survey paper: A survey on industrial applications of fuzzy control
Computers in Industry
Identification of transparent, compact, accurate and reliable linguistic fuzzy models
Information Sciences: an International Journal
Reconfigurable networked fuzzy takagi sugeno control for magnetic levitation case study
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Local model network identification for online engine modelling
Information Sciences: an International Journal
Hinging hyperplane based regression tree identified by fuzzy clustering and its application
Applied Soft Computing
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From the Publisher:"This book presents new approaches to the construction of fuzzy models for model-based control. New model structures and identification algorithms are described for the effective use of heterogeneous information in the form of numerical data, qualitative knowledge, and first principle models. The main methods and techniques are illustrated through several simulated examples and real-world applications from chemical and process engineering practice." "Supporting MATLAB and Simulink files, available at the website www.fmt.vein.hu/softcomp, create a computational platform for exploration and illustration of many concepts and algorithms presented in the book." The book is aimed primarily at researchers, practitioners, and professionals in process control and identification, but it is also accessible to graduate students in electrical, chemical, and process engineering. Technical prerequisites include an undergraduate-level knowledge of control theory and linear algebra. Additional familiarity with fuzzy systems is helpful but not required.