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A Unified Fuzzy Model-Based Framework for Modeling and Control of Complex Systems: From Flying Vehicle Control to Brain-Machine Cooperative Control

  • Kazuo Tanaka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7311)

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.

Keywords

Linear Matrix Inequality Fuzzy Controller Fuzzy Control System Guarantee Cost Control Unmanned Helicopter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kazuo Tanaka
    • 1
  1. 1.Department of Mechanical Engineering and Intelligent SystemsThe University of Electro-CommunicationsChofuJapan

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