TY - CHAP
T1 - A sliding mode control using fuzzy-neural hierarchical multi-model identifier
AU - Baruch, Ieroham
AU - Guzman, Jose Luis O.
AU - Mariaca-Gaspar, Carlos Roman
AU - Guerra, Rosalba Galvan
PY - 2007
Y1 - 2007
N2 - A Recurrent Trainable Neural Network (RTNN) with a two layer canonical architecture learned by a dynamic Backpropagation learning algorithm is incorporated in a Hierarchical Fuzzy-Neural Multi-Model (HFNMM) identifier, combining the fuzzy model flexibility with the learning abilities of the RTNNs. The local and global features of the proposed HFNMM identifier are implemented by a Hierarchical Sliding Mode Controller (HSMC). The proposed HSMC scheme is applied for 1-DOF mechanical plant with friction control, where the obtained comparative results show that the HSMC with a HFNMM identifier outperforms the SMC with a single RTNN identifier.
AB - A Recurrent Trainable Neural Network (RTNN) with a two layer canonical architecture learned by a dynamic Backpropagation learning algorithm is incorporated in a Hierarchical Fuzzy-Neural Multi-Model (HFNMM) identifier, combining the fuzzy model flexibility with the learning abilities of the RTNNs. The local and global features of the proposed HFNMM identifier are implemented by a Hierarchical Sliding Mode Controller (HSMC). The proposed HSMC scheme is applied for 1-DOF mechanical plant with friction control, where the obtained comparative results show that the HSMC with a HFNMM identifier outperforms the SMC with a single RTNN identifier.
UR - http://www.scopus.com/inward/record.url?scp=56349108106&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-72434-6_77
DO - 10.1007/978-3-540-72434-6_77
M3 - Capítulo
AN - SCOPUS:56349108106
SN - 9783540724339
T3 - Advances in Soft Computing
SP - 762
EP - 771
BT - Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
A2 - Castillo, Oscar
A2 - Melin, Patricia
A2 - Ross, Oscar Montiel
A2 - Cruz, Roberto Sepulveda
A2 - Pedrycz, Witold
A2 - Kacprzyk, Janusz
ER -