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Xiaodong Li 0011
Person information
- affiliation: Sun Yat-sen University, School of Intelligent Systems Engineering, Guangzhou, China
- affiliation: Guangzhou Xinhua University, School of Information Science, Dongguan, China
Other persons with the same name
- Xiaodong Li (aka: Xiao-Dong Li) — disambiguation page
- Xiaodong Li 0001 — RMIT University, Evolutionary Computation and Machine Learning Research Group, Melbourne, VIC, Australia (and 1 more)
- Xiaodong Li 0002 — Chinese Academy of Science, Institute of Acoustics, Beijing, China
- Xiaodong Li 0003 — Linyi University, School of Logistics, China
- Xiaodong Li 0004 — Dalian University of Technology, MOE, Key Laboratory for Precision and Non-Traditional Machining Technology, China
- Xiaodong Li 0005 — University of Pennsylvania, Department of Wharton Statistics, Philadelphia, PA, USA (and 1 more)
- Xiaodong Li 0006 — University of Nottingham, School of Geography, UK (and 1 more)
- Xiaodong Li 0007 — Hohai University, School of Computer and Information, Nanjing, China (and 1 more)
- Xiaodong Li 0008 — Macau University of Science and Technology, Faculty of Information Technology, Macau (and 1 more)
- Xiaodong Li 0009 — University of Hong Kong, Department of Computer Science, Hong Kong
- Xiaodong Li 0010 — University of Hong Kong, Department of Orthopaedics and Traumatology, Hong Kong (and 1 more)
- Xiaodong Li 0012 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
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2020 – today
- 2024
- [j27]Ying Kong, Xiaodong Li, Xuefang Li:
Iterative learning control approach for linear discrete time-varying systems with different initial time points. J. Frankl. Inst. 361(6): 106702 (2024) - [j26]Shuyu Zhang, Xiao-Dong Li, Xuefang Li:
A Novel Event-Triggered Iterative Learning Model Predictive Control for Linear Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7619-7632 (2024) - 2023
- [j25]Binbin Qiu, Xiaodong Li, Song Yang:
A novel discrete-time neurodynamic algorithm for future constrained quadratic programming with wheeled mobile robot control. Neural Comput. Appl. 35(3): 2795-2809 (2023) - 2022
- [j24]Binbin Qiu, Xiaodong Li:
Jerk-layer repetitive motion and direction control scheme of redundant robot resolved via new discretized zeroing neural network model. Neurocomputing 511: 237-246 (2022) - [j23]Wen-Yuan Fu, Xiao-Dong Li, Tao Qian:
Data-driven ILC algorithms using AFD in frequency domain for unknown linear discrete-time systems. J. Frankl. Inst. 359(6): 2445-2462 (2022) - [j22]Binbin Qiu, Jinjin Guo, Xiaodong Li, Zhijun Zhang, Yunong Zhang:
Discrete-Time Advanced Zeroing Neurodynamic Algorithm Applied to Future Equality-Constrained Nonlinear Optimization With Various Noises. IEEE Trans. Cybern. 52(5): 3539-3552 (2022) - [j21]Binbin Qiu, Xiao-Dong Li, Jinjin Guo, Ning Tan:
New Jerk-Level Configuration Adjustment Schemes Applied to Constrained Redundant Robots. IEEE Trans. Ind. Informatics 18(4): 2528-2538 (2022) - 2021
- [b1]Yunong Zhang, Binbin Qiu, Xiaodong Li:
Zhang-Gradient Control, 3. Springer 2021, ISBN 978-981-15-8256-1, pp. 1-280 - [j20]Binbin Qiu, Jinjin Guo, Xiaodong Li, Yunong Zhang:
New Discretized Zeroing Neural Network Models for Solving Future System of Bounded Inequalities and Nonlinear Equations Aided With General Explicit Linear Four-Step Rule. IEEE Trans. Ind. Informatics 17(8): 5164-5174 (2021) - [j19]Kai Wan, Xiao-Dong Li:
High-Order Internal Model-Based Iterative Learning Control for 2-D Linear FMMI Systems With Iteration-Varying Trajectory Tracking. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1462-1472 (2021) - [j18]Kai Wan, Xiao-Dong Li:
Robust Iterative Learning Control of 2-D Linear Discrete FMMII Systems Subject to Iteration-Dependent Uncertainties. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 5949-5961 (2021) - 2020
- [j17]Qing-Yuan Xu, Xiao-Dong Li:
HONN-Based Adaptive ILC for Pure-Feedback Nonaffine Discrete-Time Systems With Unknown Control Directions. IEEE Trans. Neural Networks Learn. Syst. 31(1): 212-224 (2020) - [c4]Binbin Qiu, Jinjin Guo, Xiaodong Li, Yunong Zhang:
Solving Discrete Dynamic Nonlinear Equation System Using New-Type DTG Model With Occasionally-Singular Jacobian Matrix. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j16]Binbin Qiu, Yunong Zhang, Jinjin Guo, Zhi Yang, Xiaodong Li:
New five-step DTZD algorithm for future nonlinear minimization with quartic steady-state error pattern. Numer. Algorithms 81(3): 1043-1065 (2019) - [j15]Tengfei Xiao, Xiao-Dong Li, Shuqiang Wang:
Dominant-Modes-Based Sliding-Mode Observer for Estimation of Temperature Distribution in Rapid Thermal Processing System. IEEE Trans. Ind. Informatics 15(5): 2673-2681 (2019) - 2018
- [j14]Qing-Yuan Xu, Xiaodong Li:
Adaptive fuzzy ILC of nonlinear discrete-time systems with unknown dead zones and control directions. Int. J. Syst. Sci. 49(9): 1878-1894 (2018) - 2017
- [j13]Yunong Zhang, Yaqiong Ding, Binbin Qiu, Yinyan Zhang, Xiaodong Li:
Signum-function array activated ZNN with easier circuit implementation and finite-time convergence for linear systems solving. Inf. Process. Lett. 124: 30-34 (2017) - 2016
- [j12]Xiaodong Li, Mang-Mang Lv, John K. L. Ho:
Adaptive ILC algorithms of nonlinear continuous systems with non-parametric uncertainties for non-repetitive trajectory tracking. Int. J. Syst. Sci. 47(10): 2279-2289 (2016) - [c3]Yaqiong Ding, Xiaodong Li, Deyang Zhang, Hongzhou Tan, Yunong Zhang:
Discontinuous signum-activated ZD controllers handling agitator tank as an attempt. ICSAI 2016: 13-18 - 2014
- [j11]Xiaodong Li, John K. L. Ho, Meng Liu:
Robust iterative learning control with rectifying action for nonlinear discrete time-delayed systems. Multidimens. Syst. Signal Process. 25(4): 723-739 (2014) - 2013
- [j10]Xiao-Dong Li, Tommy W. S. Chow, L. L. Cheng:
Adaptive iterative learning control of non-linear MIMO continuous systems with iteration-varying initial error and reference trajectory. Int. J. Syst. Sci. 44(4): 786-794 (2013) - 2011
- [j9]Xiaodong Li, John K. L. Ho:
Further results on iterative learning control with convergence conditions for linear time-variant discrete systems. Int. J. Syst. Sci. 42(6): 989-996 (2011) - 2010
- [c2]Mang-Mang Lv, Xiaodong Li, Teng-Fei Xiao:
Iterative learning control for linear time-variant continuous systems with iteration-varying initial conditions and iteration-varying reference trajectories. ICCA 2010: 235-240
2000 – 2009
- 2009
- [j8]Xiaodong Li, Tommy W. S. Chow, John K. L. Ho:
Quasi-sliding mode based repetitive control for nonlinear continuous-time systems with rejection of periodic disturbances. Autom. 45(1): 103-108 (2009) - [j7]Yunong Zhang, Weimu Ma, Xiaodong Li, Hongzhou Tan, Ke Chen:
MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs. Neurocomputing 72(7-9): 1679-1687 (2009) - 2008
- [j6]Xiaodong Li, Tommy W. S. Chow, John K. L. Ho:
Iterative learning control for a class of nonlinear discrete-time systems with multiple input delays. Int. J. Syst. Sci. 39(4): 361-369 (2008) - 2007
- [j5]Xiaodong Li, Tommy W. S. Chow, John K. L. Ho, Hongzhou Tan:
Repetitive Learning Control of Nonlinear Continuous-Time Systems Using Quasi-Sliding Mode. IEEE Trans. Control. Syst. Technol. 15(2): 369-374 (2007) - [c1]Yunong Zhang, Ke Chen, Weimu Ma, Xiaodong Li:
MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion. ICIC (2) 2007: 98-109 - 2005
- [j4]Xiaodong Li, John K. L. Ho, Tommy W. S. Chow:
An iterative learning control method and mathematical model for robotic manipulation at undesired locations. Int. J. Comput. Integr. Manuf. 18(6): 480-486 (2005) - [j3]Xiaodong Li, Tommy W. S. Chow, John K. L. Ho:
2-D system theory based iterative learning control for linear continuous systems with time delays. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(7): 1421-1430 (2005) - [j2]Xiaodong Li, John K. L. Ho, Tommy W. S. Chow:
Approximation of dynamical time-variant systems by continuous-time recurrent neural networks. IEEE Trans. Circuits Syst. II Express Briefs 52-II(10): 656-660 (2005) - 2000
- [j1]Tommy W. S. Chow, Xiao-Dong Li, Yong Fang:
A real-time learning control approach for nonlinear continuous-time system using recurrent neural networks. IEEE Trans. Ind. Electron. 47(2): 478-486 (2000)
Coauthor Index
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last updated on 2024-12-19 22:12 CET by the dblp team
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