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Dong-Juan Li
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2020 – today
- 2022
- [j31]Yaning Wang, Dongjuan Li, Lei Liu:
IBLF-based adaptive finite-time control and modeling for continuous stirred tank reactor with output constraint. J. Frankl. Inst. 359(16): 8669-8686 (2022) - 2021
- [j30]Dongjuan Li, Dongxing Wang, Ying Gao
:
Adaptive Neural Control and Modeling for Continuous Stirred Tank Reactor with Delays and Full State Constraints. Complex. 2021: 9948044:1-9948044:12 (2021) - [j29]Dong-Juan Li
Adaptive NN Cross Backstepping Control for Nonlinear Systems With Partial Time-Varying State Constraints and Its Applications to Hyper-Chaotic Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 2821-2832 (2021) - [j28]Dongjuan Li
Adaptive Finite-Time Tracking Control for Continuous Stirred Tank Reactor With Time-Varying Output Constraint. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5929-5934 (2021)
2010 – 2019
- 2019
- [j27]Li Tang
Time-Varying Tan-Type Barrier Lyapunov Function-Based Adaptive Fuzzy Control for Switched Systems With Unknown Dead Zone. IEEE Access 7: 110928-110935 (2019) - [j26]Yajun Wang, Fuming Sun
On-line modeling and monitoring for multi-operation batch processes with infinite data types. Clust. Comput. 22(6): 14855-14866 (2019) - [j25]Dapeng Li
Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay. IEEE Trans. Cybern. 49(4): 1249-1258 (2019) - 2018
- [j24]Yan-Jun Liu, Shumin Lu
Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints. Autom. 87: 83-93 (2018) - [j23]Dong-Juan Li, Dapeng Li:
Adaptive tracking control for nonlinear time-varying delay systems with full state constraints and unknown control coefficients. Autom. 93: 444-453 (2018) - [j22]Dong-Juan Li
Adaptive Control via Neural Output Feedback for a Class of Nonlinear Discrete-Time Systems in a Nested Interconnected Form. IEEE Trans. Cybern. 48(9): 2633-2642 (2018) - [j21]Dong-Juan Li
Adaptive Fuzzy Tracking Control Based Barrier Functions of Uncertain Nonlinear MIMO Systems With Full-State Constraints and Applications to Chemical Process. IEEE Trans. Fuzzy Syst. 26(4): 2145-2159 (2018) - [j20]Yan-Jun Liu
Adaptive Fuzzy Output Feedback Control for a Class of Nonlinear Systems With Full State Constraints. IEEE Trans. Fuzzy Syst. 26(5): 2607-2617 (2018) - [j19]Dapeng Li
Adaptive Neural Tracking Control for an Uncertain State Constrained Robotic Manipulator With Unknown Time-Varying Delays. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2219-2228 (2018) - 2017
- [j18]Shumin Lu
Adaptive Neural Network Control for Nonlinear Hydraulic Servo-System with Time-Varying State Constraints. Complex. 2017: 6893521:1-6893521:11 (2017) - [j17]Dapeng Li, Dong-Juan Li, Yan-Jun Liu
Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems With Full State Constraints. IEEE Trans. Cybern. 47(10): 3100-3109 (2017) - [j16]Yan-Jun Liu
Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems. IEEE Trans. Cybern. 47(11): 3747-3757 (2017) - [j15]Yan-Jun Liu
Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems. IEEE Trans. Syst. Man Cybern. Syst. 47(7): 1546-1553 (2017) - [j14]Dapeng Li
Adaptive Neural Tracking Control for Nonlinear Time-Delay Systems With Full State Constraints. IEEE Trans. Syst. Man Cybern. Syst. 47(7): 1590-1601 (2017) - [c5]Dapeng Li, Yan-Jun Liu
Approximation-Based Adaptive Neural Tracking Control of an Uncertain Robot with Output Constraint and Unknown Time-Varying Delays. ISNN (2) 2017: 44-51 - 2016
- [j13]Dong-Juan Li, Jing Li, Shu Li:
Adaptive control of nonlinear systems with full state constraints using Integral Barrier Lyapunov Functionals. Neurocomputing 186: 90-96 (2016) - [j12]Yan-Jun Liu
Neural Controller Design-Based Adaptive Control for Nonlinear MIMO Systems With Unknown Hysteresis Inputs. IEEE Trans. Cybern. 46(1): 9-19 (2016) - [j11]Yan-Jun Liu
Fuzzy Adaptive Control With State Observer for a Class of Nonlinear Discrete-Time Systems With Input Constraint. IEEE Trans. Fuzzy Syst. 24(5): 1147-1158 (2016) - 2015
- [j10]Dong-Juan Li, Dapeng Li:
Adaptive controller design-based neural networks for output constraint continuous stirred tank reactor. Neurocomputing 153: 159-163 (2015) - [j9]Dong-Juan Li:
Adaptive neural network control for a two continuously stirred tank reactor with output constraints. Neurocomputing 167: 451-458 (2015) - [j8]Yan-Jun Liu
Reinforcement Learning Design-Based Adaptive Tracking Control With Less Learning Parameters for Nonlinear Discrete-Time MIMO Systems. IEEE Trans. Neural Networks Learn. Syst. 26(1): 165-176 (2015) - 2014
- [j7]Dong-Juan Li:
Adaptive neural network control for a class of continuous stirred tank reactor systems. Sci. China Inf. Sci. 57(10): 1-8 (2014) - [j6]Yan-Jun Liu
Adaptive output feedback control for a class of nonlinear systems with full-state constraints. Int. J. Control 87(2): 281-290 (2014) - [j5]Dong-Juan Li:
Neural network control for a class of continuous stirred tank reactor process with dead-zone input. Neurocomputing 131: 453-459 (2014) - [j4]Dong-Juan Li, Li Tang:
Adaptive control for a class of chemical reactor systems in discrete-time form. Neural Comput. Appl. 24(7-8): 1807-1814 (2014) - [c4]Dong-Juan Li, Yan-Jun Liu
Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint. ISNN 2014: 385-392 - 2013
- [j3]Yang Cui, Yan-Jun Liu
Robust adaptive NN control for a class of uncertain discrete-time nonlinear MIMO systems. Neural Comput. Appl. 22(3-4): 747-754 (2013) - [j2]Lei Liu, Yan-Jun Liu
Intelligence computation based on adaptive tracking design for a class of non-linear discrete-time systems. Neural Comput. Appl. 23(5): 1351-1357 (2013) - [j1]Dong-Juan Li, Jing Zhang, Yang Cui, Lei Liu:
Intelligent control of nonlinear systems with application to chemical reactor recycle. Neural Comput. Appl. 23(5): 1495-1502 (2013) - [c3]Dong-Juan Li:
Adaptive Neural Network Control for Continuous Stirred Tank Reactor Process. ICONS 2013: 171-175 - [c2]Dong-Juan Li, Li Tang:
Adaptive NN Control for a Class of Chemical Reactor Systems. ISNN (2) 2013: 163-169 - 2011
- [c1]Yan-Jun Liu
Observer-based adaptive control for a class of nonlinear chaotic systems. SMC 2011: 2011-2014
Coauthor Index
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