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在“Elsevier电子期刊”中，命中：16,180条，耗时：0.1339056 秒

在所有数据库中总计命中：25,401条

1.A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems

作者：Hai-Jun Rong^aAuthor Vitae ; Zhao-Xu Yang^aAuthor Vitae ; Pak Kin Wong^b ; ^{fstpkw@umac.mo}Author Vitae ; Chi Man Vong^cAuthor Vitae ; Guang-She Zhao^aAuthor Vitae

关键词：Meta-cognitive learning ; Backstepping control ; Nonlinear systems ; Fuzzy neural control

刊名：Neurocomputing

出版年：2017

2.Adaptive neural tracking control for a class of uncertain switched nonlinear systems with unknown backlash-like hysteresis control input

作者：Xinyong Wang ; ^{wangxinyong1993@gmail.com}Author Vitae ; Hongmin Li ^{fslihongmin@gmail.com}Author Vitae ; Xudong Zhao ^{xdzhaohit@gmail.com}Author Vitae

关键词：Neural networks ; Adaptive backstepping ; Dynamic surface control (DSC) ; Backlash-like hysteresis ; Uncertain switched nonlinear systems

刊名：Neurocomputing

出版年：2017

3.Complex-valued neural network topology and learning applied for identification and control of nonlinear systems

作者：Ieroham S. Baruch ^{baruch@ctrl.cinvestav.mx}Author Vitae ; Victor A. Quintana ^{varellano@ctrl.cinvestav.mx}Author Vitae ; Edmundo P. Reynaud ; ^{eperez@ctrl.cinvestav.mx}Author Vitae

关键词：Complex-valued backpropagation ; Complex-valued Levenberg-Marquard ; Adaptive neural control ; Recurrent complex-valued neural network ; Nonlinear oscillatory plants

刊名：Neurocomputing

出版年：2017

4.Pinning-controlled synchronization of delayed neural networks with distributed-delay coupling via impulsive control

作者：Wangli He^a ; Feng Qian^a ; ^{fqian@ecust.edu.cn} ; Jinde Cao^b

关键词：Pinning synchronization ; Impulsive control ; Neural networks ; Distributed delays

刊名：Neural Networks

出版年：2017

5.Precise control of a four degree-of-freedom permanent magnet biased active magnetic bearing system in a magnetically suspended direct-driven spindle using neural network inverse scheme

作者：Xiaodong Sun^a ; ^b ; ^{xdsun@ujs.edu.cn} ; Bokai Su^a ; Long Chen^a ; ^b ; Zebin Yang^c ; Xing Xu^a ; ^b ; Zhou Shi^a

关键词：Magnetic bearing ; Neural network inverse ; Decoupling control ; Internal model control ; Magnetically suspended direct-driven spindle

刊名：Mechanical Systems and Signal Processing

出版年：2017

6.Adaptive neural control for a class of stochastic nonlinear systems with unknown parameters, unknown nonlinear functions and stochastic disturbances

作者：Chao-Yang Chen^a ; ^b ; ^{cychen@hnust.edu.cn}Author Vitae ; Wei-Hua Gui^bAuthor Vitae ; Zhi-Hong Guan^cAuthor Vitae ; Ru-Liang Wang^dAuthor Vitae ; Shao-Wu Zhou^aAuthor Vitae

关键词：Unknown parameters ; Stochastic disturbances ; Unknown nonlinear functions ; Stochastic nonlinear ; Adaptive neural control

刊名：Neurocomputing

出版年：2017

7.A limit-cycle self-organizing map architecture for stable arm control

作者：Di-Wei Huang^a ; ^{dwh@cs.umd.edu} ; Rodolphe J. Gentili^b ; ^c ; ^d ; ^{rodolphe@umd.edu} ; Garrett E. Katz^a ; ^{gkatz12@umd.edu} ; James A. Reggia^a ; ^c ; ^d ; ^e ; ^{reggia@cs.umd.edu}

关键词：Self-organizing map ; Neural architecture ; Limit cycle attractor ; Robotic arm control ; Neural oscillation

刊名：Neural Networks

出版年：2017

8.Finite-time boundedness, -gain analysis and control of Markovian jump switched neural networks with additive time-varying delays

作者：M. Syed Ali^a ; ^{syedgru@gmail.com} ; S. Saravanan^a ; ^{saravanantvu@gmail.com} ; Jinde Cao^b ; ^{jdcao@seu.edu.cn}

关键词：Average dwell time approach ; Finite-time boundedness ; Finite-time control design ; L2L2-gain analysis ; Lyapunov&ndash ; Krasovskii functional ; Switched neural networks

刊名：Nonlinear Analysis: Hybrid Systems

出版年：2017

9.Synchronization for coupled reaction-diffusion neural networks with and without multiple time-varying delays via pinning-control

作者：Meng Xu^aAuthor Vitae ; Jin-Liang Wang^a ; ^b ; ^{wangjinliang1984@163.com}Author Vitae ; Pu-Chong Wei^aAuthor Vitae

关键词：Coupled neural networks ; Time-varying delays ; Pinning control ; Adaptive control ; Synchronization

刊名：Neurocomputing

出版年：2017

10.Distributed formation control of nonholonomic autonomous vehicle via RBF neural network

作者：Shichun Yang^a ; ^b ; Yaoguang Cao^a ; Zhaoxia Peng^a ; ^b ; ^{pengzhaoxia@buaa.edu.cn} ; Guoguang Wen^c ; Konghui Guo^d

关键词：Vehicle ; Formation control ; RBF neural network ; Graph theory ; Filippov solution

刊名：Mechanical Systems and Signal Processing

出版年：2017

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