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Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
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Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity

Fan, Yamin ; Liu, Ximei

International journal of robust and nonlinear control, 2020-09, Vol.30 (14), p.5492-5509 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
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Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity

Liu, Ximei ; Fan, Yamin

International journal of robust and nonlinear control, 2021-06, Vol.31 (9), p.4017-4036 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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3
Convolutional Neural Network-Aided DP-64 QAM Coherent Optical Communication Systems
Convolutional Neural Network-Aided DP-64 QAM Coherent Optical Communication Systems
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Convolutional Neural Network-Aided DP-64 QAM Coherent Optical Communication Systems

Li, Chao ; Wang, Yongjun ; Wang, Jingjing ; Yao, Haipeng ; Liu, Xinyu ; Gao, Ran ; Yang, Leijing ; Xu, Hui ; Zhang, Qi ; Ma, Pengjie ; Xin, Xiangjun

Journal of lightwave technology, 2022-05, Vol.40 (9), p.2880-2889 [Periódico revisado por pares]

New York: IEEE

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4
Barrier Lyapunov functions-based dynamic surface control for pure-feedback systems with full state constraints
Barrier Lyapunov functions-based dynamic surface control for pure-feedback systems with full state constraints
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Barrier Lyapunov functions-based dynamic surface control for pure-feedback systems with full state constraints

Wang, Chunxiao ; Wu, Yuqiang ; Yu, Jiangbo

IET control theory & applications, 2017-02, Vol.11 (4), p.524-530 [Periódico revisado por pares]

The Institution of Engineering and Technology

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5
Inter-Channel Nonlinear Interference Noise in WDM Systems: Modeling and Mitigation
Inter-Channel Nonlinear Interference Noise in WDM Systems: Modeling and Mitigation
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Inter-Channel Nonlinear Interference Noise in WDM Systems: Modeling and Mitigation

Dar, Ronen ; Feder, Meir ; Mecozzi, Antonio ; Shtaif, Mark

Journal of lightwave technology, 2015-03, Vol.33 (5), p.1044-1053 [Periódico revisado por pares]

New York: IEEE

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6
Hierarchical iterative identification algorithms for a nonlinear system with dead‐zone and saturation nonlinearity based on the auxiliary model
Hierarchical iterative identification algorithms for a nonlinear system with dead‐zone and saturation nonlinearity based on the auxiliary model
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Hierarchical iterative identification algorithms for a nonlinear system with dead‐zone and saturation nonlinearity based on the auxiliary model

Sun, Shunyuan ; Wang, Xiao ; Ding, Feng

International journal of adaptive control and signal processing, 2023-07, Vol.37 (7), p.1866-1892 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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7
Adaptive neural control for a class of time-delay systems in the presence of backlash or dead-zone non-linearity
Adaptive neural control for a class of time-delay systems in the presence of backlash or dead-zone non-linearity
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Adaptive neural control for a class of time-delay systems in the presence of backlash or dead-zone non-linearity

Liu, Zongcheng ; Dong, Xinmin ; Xue, Jianping ; Chen, Yong

IET control theory & applications, 2014-07, Vol.8 (11), p.1009-1022 [Periódico revisado por pares]

Stevenage: The Institution of Engineering and Technology

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8
Auxiliary model‐based multi‐innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
Auxiliary model‐based multi‐innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
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Auxiliary model‐based multi‐innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity

Fan, Yamin ; Liu, Ximei

International journal of adaptive control and signal processing, 2022-03, Vol.36 (3), p.521-540 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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9
Finite-time state-feedback stabilisation of non-holonomic systems with low-order non-linearities
Finite-time state-feedback stabilisation of non-holonomic systems with low-order non-linearities
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Finite-time state-feedback stabilisation of non-holonomic systems with low-order non-linearities

Wu, Yuqiang ; Gao, Fangzheng ; Liu, Zhenguo

IET control theory & applications, 2015-06, Vol.9 (10), p.1553-1560 [Periódico revisado por pares]

The Institution of Engineering and Technology

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10
Distributed consensus tracking for non-linear multi-agent systems with input saturation: a command filtered backstepping approach
Distributed consensus tracking for non-linear multi-agent systems with input saturation: a command filtered backstepping approach
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Distributed consensus tracking for non-linear multi-agent systems with input saturation: a command filtered backstepping approach

Cui, Guozeng ; Xu, Shengyuan ; L. Lewis, Frank ; Zhang, Baoyong ; Ma, Qian

IET control theory & applications, 2016-03, Vol.10 (5), p.509-516 [Periódico revisado por pares]

The Institution of Engineering and Technology

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