Study on the Construction of IV Transverse Locomotion Pattern Space Based on FCM

Author

Li, Yibin ; Li, Caihong ; Meng, Max Q H

Author_Institution

Sch. of Control Sci. & Eng., Shandong Univ., Jinan

Volume

2

fYear

0

fDate

0-0 0

Firstpage

8722

Lastpage

8726

Abstract

A new idea was presented to deal with the nonlinear and time-varying characteristics of the intelligent vehicle (IV). It searched a mapping relationship between the input state space and output state space based on the vehicle running data. Furthermore the IV transverse locomotion pattern space was constructed. The construction method was deduced based on fuzzy c-means (FCM) by the well adaptive abilities of the fuzzy logic to deal with the nonlinear, time-varying and uncertainty problems. At last the method was simulated. The simulation result shows that the method can cluster the sampled data set effectively. Clustering set is clear, and the subspace is divided distinctly. It provides a theoretical basis for constructing IV locomotion pattern space

Keywords

fuzzy control; fuzzy set theory; nonlinear control systems; pattern clustering; time-varying systems; uncertain systems; vehicles; fuzzy c-means; fuzzy logic; intelligent vehicle; nonlinear characteristics; pattern clustering; state space; time-varying characteristics; transverse locomotion pattern space; uncertainty problems; Computer science; Fuzzy logic; Intelligent control; Intelligent vehicles; MATLAB; Power engineering and energy; Space technology; Space vehicles; State-space methods; Uncertainty; FCM; IV; clustering; transverse locomotion pattern space;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713684

Filename

1713684