A unified fuzzy model-based framework for modeling and control of complex systems: from flying vehicle control to brain-machine cooperative control

Authors:
Kazuo Tanaka
Affiliations:
Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Chofu, Tokyo, Japan
Venue:
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
Year:
2012

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Abstract

The invited lecture in 2012 IEEE World Congress on Computational Intelligence (WCCI 2012) presents an overview of a unified fuzzy model-based framework for modeling and control of complex systems. A number of practical applications, ranging from flying vehicles control (including micro helicopter control) to brain-machine cooperative control, are provided in the lecture. The theory and applications have been developed in our laboratory [1] at the University of Electro-Communications (UEC), Tokyo, Japan, in collaboration with Prof. Hua O. Wang and his laboratory [2] at Boston University, Boston, USA. Due to lack of space, this chapter focuses on a unified fuzzy model-based framework for modeling and control of a micro helicopter that is a key application in our research.