A new analog control circuit design for hexapod using cellular neural network

Maneesilp, Kraimon; Purahong, Boonchana; Sooraksa, Pitikhate

doi:10.1109/IECON.2004.1432195

A new analog control circuit design for hexapod using cellular neural network

Author(s)

Maneesilp, Kraimon

Purahong, Boonchana

Sooraksa, Pitikhate

Date Issued

December 1, 2004

Type

Conference Paper

DOI

10.1109/IECON.2004.1432195

Abstract

This paper presents a new design of Cellular Neural Network for controlling hexapod robot Movement on forward motion. It shows a set of new state equations which higher propagation than the original one. These new equations reduce number of CNN pattern generation cells from 12 to 6 cells. As a result, this provides a new technique for designing CNN analog control circuits which can be reduced circuit components and simplified the system architectures. © 2004 IEEE.

Citation

IECON Proceedings Industrial Electronics Conference, 3, 2506-2510, 2004