Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yue-Hua Jhan"'
Autor:
Yue-Hua Jhan, 詹曜華
102
This thesis proposes a new multi-objective evolutionary fuzzy control approach to controlling both orientation and velocity of a hexapod robot for wall following. According to the measurements of four distance sensors, a fuzzy controller (FC
This thesis proposes a new multi-objective evolutionary fuzzy control approach to controlling both orientation and velocity of a hexapod robot for wall following. According to the measurements of four distance sensors, a fuzzy controller (FC
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/07327202827515517155
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 10:585-594
This paper proposes an evolutionary wall-following hexapod robot, where a new multiobjective evolutionary fuzzy control approach is proposed to control both walking orientation and speed of a hexapod robot for a wall-following task. According to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eade9f763d5d24e770e3b6b106a91b7
https://doi.org/10.1109/tcds.2017.2681181
https://doi.org/10.1109/tcds.2017.2681181
Publikováno v:
IEEE Transactions on Industrial Electronics. 62:611-619
This paper proposes the use of evolutionary fuzzy control for a wall-following hexapod robot. The data-driven fuzzy controller (FC) is learned through an adaptive group-based differential evolution (AGDE) algorithm, which avoids the explicit usage of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78c9ce09106900d631bdb3a0abc6090d
https://doi.org/10.1109/tie.2014.2319213
https://doi.org/10.1109/tie.2014.2319213
Publikováno v:
ICCA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71c99b504839fcc65a8ba1afe055ca31
https://doi.org/10.1109/icca.2014.6870982
https://doi.org/10.1109/icca.2014.6870982
Publikováno v:
2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY).
This paper addresses data-driven multi-objective fuzzy controller (FC) design problems using rule-based multi-objective genetic algorithms (GAs). The objectives considered in the design of FCs include minimization of the number of fuzzy rules and con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72b6999d63df51fa4b4977e750ffffea
https://doi.org/10.1109/ifuzzy.2013.6825471
https://doi.org/10.1109/ifuzzy.2013.6825471