TY - GEN
T1 - Big bang big crunch optimization method based fuzzy model inversion
AU - Kumbasar, Tufan
AU - Eksin, Ibrahim
AU - Güzelkaya, Müjde
AU - Yeşil, Engin
PY - 2008
Y1 - 2008
N2 - The inverse fuzzy model can be used as a controller in an open loop fashion to produce perfect control if there does not exist any disturbance or parameter variation in the system. In this paper, a new fuzzy model inversion technique that is based on an evolutionary search algorithm called Big Bang Big Crunch (BB-BC) optimization is introduced. Even though various fuzzy inversion methods can be found in literature, these methods are only applicable under certain conditions or limitations. On the other hand, there does not exist any limitation or condition for the new methodology presented here. In this new technique, the inverse fuzzy model control signal is generated iteratively as a consequence of an optimization operation. Since the BB-BC optimization algorithm has a high convergence speed and low computational time, the optimal inverse fuzzy model control signal is generated within each sampling time. The beneficial sides of the open loop control approach based on the proposed fuzzy model inversion technique are illustrated through two simulation studies.
AB - The inverse fuzzy model can be used as a controller in an open loop fashion to produce perfect control if there does not exist any disturbance or parameter variation in the system. In this paper, a new fuzzy model inversion technique that is based on an evolutionary search algorithm called Big Bang Big Crunch (BB-BC) optimization is introduced. Even though various fuzzy inversion methods can be found in literature, these methods are only applicable under certain conditions or limitations. On the other hand, there does not exist any limitation or condition for the new methodology presented here. In this new technique, the inverse fuzzy model control signal is generated iteratively as a consequence of an optimization operation. Since the BB-BC optimization algorithm has a high convergence speed and low computational time, the optimal inverse fuzzy model control signal is generated within each sampling time. The beneficial sides of the open loop control approach based on the proposed fuzzy model inversion technique are illustrated through two simulation studies.
UR - https://www.scopus.com/pages/publications/57049126099
U2 - 10.1007/978-3-540-88636-569
DO - 10.1007/978-3-540-88636-569
M3 - Conference contribution
AN - SCOPUS:57049126099
SN - 3540886354
SN - 9783540886358
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 732
EP - 740
BT - MICAI 2008
T2 - 7th Mexican International Conference on Artificial Intelligence, MICAI 2008
Y2 - 27 October 2008 through 31 October 2008
ER -