TY - GEN
T1 - Compact ant colony optimization algorithm based fuzzy neural network backstepping controller for MIMO nonlinear systems
AU - Chen, Chao Kuang
AU - Leu, Yih Guang
AU - Wang, Wei Yen
AU - Chen, Chun Yao
PY - 2010
Y1 - 2010
N2 - In this paper, a compact ant colony algorithm used to tune parameters of fuzzy-neural networks is proposed for function approximation and adaptive control of nonlinear systems. In adaptive control procedure for nonlinear systems, weights of the fuzzy neural controller are online adjusted by the compact ant algorithm in order to generate appropriate control input. For the purpose of evaluating the stability of the c1osed-loop systems, an energy fitness function is used in the ant algorithm. Finally, a computer simulation example demonstrates the feasibility and effectiveness of the proposed method.
AB - In this paper, a compact ant colony algorithm used to tune parameters of fuzzy-neural networks is proposed for function approximation and adaptive control of nonlinear systems. In adaptive control procedure for nonlinear systems, weights of the fuzzy neural controller are online adjusted by the compact ant algorithm in order to generate appropriate control input. For the purpose of evaluating the stability of the c1osed-loop systems, an energy fitness function is used in the ant algorithm. Finally, a computer simulation example demonstrates the feasibility and effectiveness of the proposed method.
KW - Adaptive control
KW - Ant colony algorithm
KW - Fuzzy neural networks
UR - http://www.scopus.com/inward/record.url?scp=77957569169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957569169&partnerID=8YFLogxK
U2 - 10.1109/ICSSE.2010.5551754
DO - 10.1109/ICSSE.2010.5551754
M3 - Conference contribution
AN - SCOPUS:77957569169
SN - 9781424464746
T3 - 2010 International Conference on System Science and Engineering, ICSSE 2010
SP - 146
EP - 149
BT - 2010 International Conference on System Science and Engineering, ICSSE 2010
T2 - 2010 International Conference on System Science and Engineering, ICSSE 2010
Y2 - 1 July 2010 through 3 July 2010
ER -