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

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

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. © 2012 Springer-Verlag.

Cite

CITATION STYLE

APA

Tanaka, K. (2012). A unified fuzzy model-based framework for modeling and control of complex systems: From flying vehicle control to brain-machine cooperative control. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7311 LNCS, pp. 185–208). https://doi.org/10.1007/978-3-642-30687-7_10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free