Plenary Lecture

Real-time Fuzzy Digital Filters: Basic Concepts


Professor Jesus Medel
Department of Real Time Automatic Control Sysmtes
Computational Research Center
National Polytechnic Institute
Zacatenco, 07738 Mexico City
Mexico
E-mail: jjmedelj@cic.ipn.mx

Abstract: The Real-time Fuzzy Digital Filters (RTFDF) concepts considering the fuzzy logic description, adaptive digital filters and Real-time constrains. The main characteristic operation of this class of filters is bounded by a region knew as linguistic natural knowledge base including all possible combinations results. Illustratively speaking, the computational output signals system classified with respect to desired answers in linguistic natural form, requiring to establish the membership function set due to natural computational interaction respect to linguistic output communication. The RTFDF requires a rules group inside of the knowledge base, typically described by logic connectors; considering the quality answers into natural languages, and the interaction constrains with adaptive properties. The basic results will be described in formal sense, using definitions, considering Nyquist, Shannon, Zadeh and Passino criteria into convolution filter scheme.

Brief Biography of the Speaker:
Prof. Jesus Medel graduated in 1994 the Faculty of Aeronautic, National Polytechnic Institute (NPI) Mexico, as an engineer in aeronautics and he is master and doctor in automatic control systems at Advanced Research Center into National Polytechnic Institute. In present he is full time professor into Computer Research Center in the same institution, Department of Real Time Control. His research interest is about the identification theory with intelligent and formal descriptions, without lost the stochastic natural descriptions systems. He is author of 4 books related with these topics and more than 50 scientific papers, published at international conferences and journals.
Jesus Medel, is a member of Mexican Academy of Sciences and National Research System, having different national awards as the best Doctoral Thesis advisor, Furthermore, works from 1999 to 2009 at Identification systems in many varieties for stochastic basic model descriptions.