Learning from neural control

IEEE Transactions on Neural Networks
Cong Wang, David J Hill

Abstract

One of the amazing successes of biological systems is their ability to "learn by doing" and so adapt to their environment. In this paper, first, a deterministic learning mechanism is presented, by which an appropriately designed adaptive neural controller is capable of learning closed-loop system dynamics during tracking control to a periodic reference orbit. Among various neural network (NN) architectures, the localized radial basis function (RBF) network is employed. A property of persistence of excitation (PE) for RBF networks is established, and a partial PE condition of closed-loop signals, i.e., the PE condition of a regression subvector constructed out of the RBFs along a periodic state trajectory, is proven to be satisfied. Accurate NN approximation for closed-loop system dynamics is achieved in a local region along the periodic state trajectory, and a learning ability is implemented during a closed-loop feedback control process. Second, based on the deterministic learning mechanism, a neural learning control scheme is proposed which can effectively recall and reuse the learned knowledge to achieve closed-loop stability and improved control performance. The significance of this paper is that the presented deterministic ...Continue Reading

References

Sep 24, 2004·IEEE Transactions on Neural Networks·Shuzhi Sam Ge, Cong Wang
Mar 25, 2005·IEEE Transactions on Neural Networks·Jang-Hyun ParkGwi-Tae Park
Feb 5, 2008·IEEE Transactions on Neural Networks·S S Ge, Cong Wang
Feb 6, 2008·IEEE Transactions on Neural Networks·J Y Choi, J A Farrell
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Citations

Jan 21, 2012·International Journal of Neural Systems·Chih-Min LinChao-Ming Chung
Feb 1, 2011·International Journal for Equity in Health·Ben F Harris-RoxasLynn A Kemp
Feb 24, 2015·IEEE Transactions on Neural Networks and Learning Systems·Honggui HanGang Feng
Jul 30, 2014·IEEE Transactions on Neural Networks and Learning Systems·Min Wang, Cong Wang
May 9, 2014·IEEE Transactions on Neural Networks and Learning Systems·Shi-Lu DaiMin Wang
Jan 22, 2015·IEEE Transactions on Neural Networks and Learning Systems·Weisheng ChenHuaguang Zhang
May 9, 2014·IEEE Transactions on Neural Networks and Learning Systems·Bin XuZhongke Shi
Jul 19, 2013·IEEE Transactions on Cybernetics·Bing ChenHuaguang Zhang
Oct 10, 2008·IEEE Transactions on Neural Networks·Sung Jin YooYoon Ho Choi
May 29, 2007·IEEE Transactions on Neural Networks·Cong Wang, David J Hill
Nov 30, 2006·IEEE Transactions on Neural Networks·Zhihong ManXinghuo Yu
Oct 1, 2012·IEEE Transactions on Neural Networks and Learning Systems·Cong WangDavid J Hill
Oct 1, 2012·IEEE Transactions on Neural Networks and Learning Systems·Tim WaegemanFrancis Schrauwen
Mar 31, 2015·IEEE Transactions on Neural Networks and Learning Systems·Bing ChenChong Lin
Mar 11, 2015·Biological cybernetics·Mathieu Galtier
Sep 18, 2012·Neural Networks : the Official Journal of the International Neural Network Society·Wei Zeng, Cong Wang
Jul 29, 2015·IEEE Transactions on Cybernetics·Ning WangYan-Cheng Liu
Nov 26, 2015·IEEE Transactions on Neural Networks and Learning Systems·Min WangXiaoping Liu
Feb 12, 2017·IEEE Transactions on Neural Networks and Learning Systems·Feifei Yang, Cong Wang
Jul 17, 2009·The Journal of the Acoustical Society of America·Raman Arora, Robert A Lutfi

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