TY - GEN
T1 - Adaptive backstepping fuzzy control for a class of nonlinear systems
AU - Leu, Yih Guang
AU - Lin, Jian You
PY - 2009
Y1 - 2009
N2 - By using a nonlinear parametric fuzzy identifier, an adaptive backstepping controller is proposed for a class of nonlinear systems. The nonlinear parametric fuzzy identifier is capable of automatically learning its membership functions. Since the fuzzy identifier is highly nonlinear, the derivative computation burden is enormous. Thus, this paper uses an estimation technique to effectively alleviate the derivative computation burden, and demonstrates the applicability of the proposed scheme by using computer simulation.
AB - By using a nonlinear parametric fuzzy identifier, an adaptive backstepping controller is proposed for a class of nonlinear systems. The nonlinear parametric fuzzy identifier is capable of automatically learning its membership functions. Since the fuzzy identifier is highly nonlinear, the derivative computation burden is enormous. Thus, this paper uses an estimation technique to effectively alleviate the derivative computation burden, and demonstrates the applicability of the proposed scheme by using computer simulation.
KW - Backstepping design
KW - Fuzzy control
KW - Nonlinear control
UR - http://www.scopus.com/inward/record.url?scp=69849107138&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=69849107138&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01510-6_127
DO - 10.1007/978-3-642-01510-6_127
M3 - Conference contribution
AN - SCOPUS:69849107138
SN - 3642015093
SN - 9783642015090
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1123
EP - 1129
BT - Advances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
T2 - 6th International Symposium on Neural Networks, ISNN 2009
Y2 - 26 May 2009 through 29 May 2009
ER -