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The field
of Intelligent Real Time Control involves various phases such as modeling,
analysis, simulation, implementation and verification of intelligent systems
that underlie what is called soft computing. Soft computing paradigms
include integration of methodologies as fuzzy logic, neural network computing
and genetic algorithms. These paradigms have shown an ability to process
information, adapt to chaining environmental conditions and learn from
the environment.
The main research
interest topics are:
1. FUZZY MODELING
2. FUZZY CONTROL AND STABILITY
3. FUZZY, NEURAL AND GENETIC APPROACHES IN ROBOTICS
4. FUZZY AND NEURAL APPROACHES TO OBJECT RECOGNITION
5. GENETIC FUZZY SYSTEMS
6. DYNAMIC SYSTEMS AND NEURAL CONTROL
7. NEUROFUZZY APPLICATIONS
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