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Special Session on Soft Computing for Intelligent Control

Session Chairs:
Prof. Patricia Melin and Prof. Oscar Castillo
Tijuana Institute of Technology, Mexico

Abstract:
This Special Session will consist of papers that integrate different Soft Computing (SC) methodologies in the design of hybrid intelligent systems for intelligent control of non-linear dynamical systems. SC methodologies at the moment include Neural Networks, Fuzzy Logic, Genetic Algorithms and Chaos Theory. Each of these methodologies has advantages and disadvantages and many problems have been solved, by using one of these methodologies. However, many real-world complex industrial problems require the integration of several of these methodologies to really achieve the efficiency and accuracy needed in practice. In this Special Session, an overview of SC methodologies, and their applications to modeling, simulation and control, will be given in an introductory paper by the Organizers. Then, detailed methods for integrating the different SC methodologies and neural networks in solving real-world problems will be given in the papers by the other authors in the Special Session. The Special Session will include applications on the following areas: Robotic Dynamic Systems, Non-linear Plants, and Manufacturing Systems.

Topics of interest (not limited to):

For more information on this Special Session, please contact the Session Chair, Prof. Patricia Melin, Email: pmelin@tectijuana.mx, or Prof. Oscar Castillo, Email:ocastillo@tectijuana.mx.

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