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Neural approximation-based adaptive control for a class of nonlinear nonstrict feedback discrete-time systems Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2017,Volume: 28,Issue: 7,Page: 1531-1541
Authors:  Liu Y.-J.;  Li S.;  Tong S.;  Chen C.L.P.
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Adaptive control  neural networks (NNs)  nonlinear discrete-time (DT) systems  nonstrict feedback  
Asymptotic fuzzy tracking control for a class of stochastic strict-feedback systems Journal article
IEEE Transactions on Fuzzy Systems, 2017,Volume: 25,Issue: 3,Page: 556-568
Authors:  Chen C.;  Liu Z.;  Zhang Y.;  Chen C.L.P.;  Xie S.
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Adaptive fuzzy control  Asymptotic tracking control  Stochastic system  
Asymmetric actuator backlash compensation in quantized adaptive control of uncertain networked nonlinear systems Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2017,Volume: 28,Issue: 2,Page: 294-307
Authors:  Lai G.;  Liu Z.;  Zhang Y.;  Chen C.L.P.;  Xie S.
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Actuator backlash  Adaptive quantized control  Lyapunov function  Neural networks (NNs)  Nonlinear systems  
Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2016,Volume: 27,Issue: 12,Page: 2683-2695
Authors:  Lian C.;  Zeng Z.;  Yao W.;  Tang H.;  Chen C.L.P.
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Displacement prediction  feedforward neural networks  landslide  prediction interval (PI)  
Adaptive quantized fuzzy control of stochastic nonlinear systems with actuator dead-zone Journal article
Information Sciences, 2016,Volume: 370-371,Page: 385-401
Authors:  Wang F.;  Liu Z.;  Zhang Y.;  Chen C.L.P.
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Adaptive fuzzy control  Backstepping technique  Hysteretic quantizer  Stochastic nonlinear quantized systems  Unknown dead zone  
Adaptive asymptotic tracking control of uncertain nonlinear system with input quantization Journal article
Systems and Control Letters, 2016,Volume: 96,Page: 23-29
Authors:  Lai G.;  Liu Z.;  Chen C.L.P.;  Zhang Y.
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Adaptive control  Asymptotic tracking  Input quantization  Nonlinear systems  
Prediction Intervals for Landslide Displacement Based on Switched Neural Networks Journal article
IEEE Transactions on Reliability, 2016,Volume: 65,Issue: 3,Page: 1483-1495
Authors:  Lian C.;  Philip Chen C.L.;  Zeng Z.;  Yao W.;  Tang H.
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Extreme learning machine (ELM)  landslide displacement prediction  prediction intervals (PIs)  switched prediction  
The bounded capacity of fuzzy neural networks (FNNs) via a new fully connected neural fuzzy inference system (F-CONFIS) with its applications Journal article
IEEE Transactions on Fuzzy Systems, 2014,Volume: 22,Issue: 6,Page: 1373-1386
Authors:  Wang J.;  Wang C.-H.;  Chen C.L.P.
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Capacity of neural networks  fuzzy neural networks (FNNs)  fuzzy system  Iris data  neural networks  
A new method based on wavelet and greedy pusuit analysis for neuro-spike detection Conference paper
ICCSS 2014 - Proceedings: 2014 International Conference on Informative and Cybernetics for Computational Social Systems
Authors:  Duan J.;  Chen L.;  Chen C.L.P.
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bio-signal  EEG  SOMP  spike detection  wavelet transform  
An automatic setting for training restricted boltzmann machine Conference paper
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Authors:  Zhang C.-Y.;  Philip Chen C.L.
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