TY - GEN
T1 - Hybrid adaptive control based on a Hopfield dynamic neural network for nonlinear dynamical systems
AU - Li, I. Hsum
AU - Lee, Lian Wang
AU - Wang, Wei Yen
PY - 2012
Y1 - 2012
N2 - In this paper, we propose a hybrid adaptive control scheme based on Hopfield-based dynamic neural network (HACHNN) for SISO nonlinear systems. An auxiliary direct adaptive controller is proposed to ensure the stability in the time-interval of when an indirect adaptive controller is failed because of ĝ(x)→0. The weights of the Hopfield-based dynamic neural network are on-line tuned by the adaptive laws derived in the sense of Lyapunov theorem, so that the stability of the closed-loop system can be guaranteed, and all signals in the closed-loop system are bounded. The designed structure of the Hopfield-based dynamic neural network maintains the tracking performance of the control scheme, and it also makes the practical implementation much easier.
AB - In this paper, we propose a hybrid adaptive control scheme based on Hopfield-based dynamic neural network (HACHNN) for SISO nonlinear systems. An auxiliary direct adaptive controller is proposed to ensure the stability in the time-interval of when an indirect adaptive controller is failed because of ĝ(x)→0. The weights of the Hopfield-based dynamic neural network are on-line tuned by the adaptive laws derived in the sense of Lyapunov theorem, so that the stability of the closed-loop system can be guaranteed, and all signals in the closed-loop system are bounded. The designed structure of the Hopfield-based dynamic neural network maintains the tracking performance of the control scheme, and it also makes the practical implementation much easier.
KW - Hopfield dynamic neural network
KW - hybrid adaptive control scheme
UR - http://www.scopus.com/inward/record.url?scp=84865099858&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865099858&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2012.6252454
DO - 10.1109/IJCNN.2012.6252454
M3 - Conference contribution
AN - SCOPUS:84865099858
SN - 9781467314909
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2012 International Joint Conference on Neural Networks, IJCNN 2012
T2 - 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012
Y2 - 10 June 2012 through 15 June 2012
ER -