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Zhongsheng Hou
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2020 – today
- 2024
- [j162]Lina Chang, Zhongsheng Hou:
Sampled-data model-free adaptive integral sliding mode control for nonlinear continuous-time networked control systems with fading channels and packet dropouts. Neurocomputing 589: 127708 (2024) - [j161]Zixiang Mao, Mengxue Hou, Zhongsheng Hou:
Model-free adaptive bipartite consensus control for unknown heterogeneous nonlinear MASs with different input delays. Int. J. Syst. Sci. 55(15): 3114-3129 (2024) - [j160]Ronghu Chi
, Na Lin
Performance-oriented design and analysis for direct data-driven control of multi-agent systems. Inf. Sci. 666: 120419 (2024) - [j159]Xuefang Li
Robust Adaptive Iterative Learning Control for a Generic Class of Uncertain Non-Square MIMO Systems. IEEE Trans. Autom. Control. 69(4): 2721-2728 (2024) - [j158]Jianmin Zheng
Model Free Adaptive Iterative Learning Control Based Fault-Tolerant Control for Subway Train With Speed Sensor Fault and Over-Speed Protection. IEEE Trans Autom. Sci. Eng. 21(1): 168-180 (2024) - [j157]Yue-Ming Wang, Yuan-Xin Li, Shaocheng Tong, Zhongsheng Hou:
Data-Driven-Based Event-Triggered Prescribed Performance Tracking of Nonlinear System With FDI Attacks. IEEE Trans Autom. Sci. Eng. 21(4): 5357-5366 (2024) - [j156]Xueming Zhang, Mengxue Hou, Zhongsheng Hou:
Data-Driven High-Order Point-to-Point ILC With Higher Computational Efficiency. IEEE Trans Autom. Sci. Eng. 21(4): 6011-6026 (2024) - [j155]Panpan Zhu, Shangtai Jin, Xuhui Bu, Zhongsheng Hou:
Distributed Data-Driven Control for a Connected Autonomous Vehicle Platoon Subjected to False Data Injection Attacks. IEEE Trans Autom. Sci. Eng. 21(4): 7527-7538 (2024) - [j154]Shida Liu
Attitude Adjustment of a Two-Wheel Balance Vehicle Based on an Enhanced Model-Free Adaptive Control Algorithm. IEEE Trans. Circuits Syst. II Express Briefs 71(8): 3885-3889 (2024) - [j153]Fanghui Li
Learning-Based Model-Free Adaptive Control for Nonlinear Discrete-Time Networked Control Systems Under Hybrid Cyber Attacks. IEEE Trans. Cybern. 54(3): 1560-1570 (2024) - [j152]Ronghu Chi
Sampled-Data Model-Free Adaptive Control for Nonlinear Continuous-Time Systems. IEEE Trans. Cybern. 54(8): 4775-4788 (2024) - [j151]Ronghu Chi
Data-Driven Dynamic Internal Model Control. IEEE Trans. Cybern. 54(9): 5347-5359 (2024) - [j150]Panpan Zhu
Distributed Data-Driven Event-Triggered Fault-Tolerant Control for a Connected Heterogeneous Vehicle Platoon With Sensor Faults. IEEE Trans. Intell. Transp. Syst. 25(6): 5498-5509 (2024) - [j149]Wen Tan
Data-Driven Security Control for Vehicular Platooning Systems With Finite-Time Prescribed Performance. IEEE Trans. Intell. Transp. Syst. 25(9): 12385-12394 (2024) - [j148]Genfeng Liu
Adaptive Iterative Learning Fault-Tolerant Control for State Constrained Nonlinear Systems With Randomly Varying Iteration Lengths. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1735-1749 (2024) - [j147]Zhenzhen Pan
Distributed Model-Free Adaptive Predictive Control for MIMO Multi-Agent Systems With Deception Attack. IEEE Trans. Signal Inf. Process. over Networks 10: 32-47 (2024) - [j146]Jiaqi Liang
Finite-Time Asymmetric Bipartite Consensus for Multi-Agent Systems Using Data-Driven Iterative Learning Control. IEEE Trans. Signal Inf. Process. over Networks 10: 227-238 (2024) - [j145]Fanghui Li
Controller-Dynamic-Linearization-Based Distributed Model-Free Adaptive Control for Nonlinear Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 985-996 (2024) - [j144]Fanghui Li
Event-Triggered Model-Free Adaptive Predictive Control for Networked Control Systems Under Deception Attacks. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1325-1334 (2024) - [j143]Ronghu Chi
Data-Driven Finite-Iteration Learning Control. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5296-5306 (2024) - [c38]Fanghui Li, Zhongsheng Hou:
Model-Free Adaptive Control for Discrete-Time Nonlinear Systems with Partially Known Structures. ICCA 2024: 431-436 - 2023
- [j142]Jiaqi Liang, Xuhui Bu, Lizhi Cui, Zhongsheng Hou:
Event-Triggered Asymmetric Bipartite Consensus Tracking for Nonlinear Multi-Agent Systems Based on Model-Free Adaptive Control. IEEE CAA J. Autom. Sinica 10(3): 662-672 (2023) - [j141]Tong Liu, Zhongsheng Hou:
Model-free adaptive iterative learning containment control for unknown heterogeneous nonlinear MASs with disturbances. Neurocomputing 515: 121-132 (2023) - [j140]Xueming Zhang, Zhongsheng Hou:
Data-driven predictive point-to-point iterative learning control. Neurocomputing 518: 431-439 (2023) - [j139]Yukan Zheng
Fully Distributed Adaptive Asymptotic Consensus Control for a Network of Parabolic PDEs. IEEE Syst. J. 17(4): 6022-6032 (2023) - [j138]Ronghu Chi
Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates. IEEE Trans. Autom. Control. 68(3): 1600-1613 (2023) - [j137]Bo Xu
Dynamic Event-Triggered Reinforcement Learning-Based Consensus Tracking of Nonlinear Multi-Agent Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 70(5): 2120-2132 (2023) - [j136]Tong Liu
Model-Free Adaptive Containment Control for Unknown Multi-Input Multi-Output Nonlinear MASs With Output Saturation. IEEE Trans. Circuits Syst. I Regul. Pap. 70(5): 2156-2166 (2023) - [j135]Panpan Zhu
Model-Free Adaptive Control for a Class of MIMO Nonlinear Cyberphysical Systems Under False Data Injection Attacks. IEEE Trans. Control. Netw. Syst. 10(1): 467-478 (2023) - [j134]Xiaoyan Hu
Event-Triggered Adaptive Fuzzy Asymptotic Tracking Control of Nonlinear Pure-Feedback Systems With Prescribed Performance. IEEE Trans. Cybern. 53(4): 2380-2390 (2023) - [j133]Huaying Li
Double Dynamic Linearization-Based Higher Order Indirect Adaptive Iterative Learning Control. IEEE Trans. Cybern. 53(6): 3506-3517 (2023) - [j132]Panpan Zhu
Improved Model-Free Adaptive Control for MIMO Nonlinear Systems With Event-Triggered Transmission Scheme and Quantization. IEEE Trans. Cybern. 53(9): 5867-5880 (2023) - [j131]Qian Wang
Event-Triggered Cooperative Model-Free Adaptive Iterative Learning Control for Multiple Subway Trains With Actuator Faults. IEEE Trans. Cybern. 53(9): 6041-6052 (2023) - [j130]Honghai Ji
Data-Driven Distributed Information-Weighted Consensus Filtering in Discrete-Time Sensor Networks With Switching Topologies. IEEE Trans. Cybern. 53(12): 7548-7559 (2023) - [j129]Xuhui Bu
Event-Triggered Data-Driven Control for Nonlinear Systems Under Frequency-Duration-Constrained DoS Attacks. IEEE Trans. Inf. Forensics Secur. 18: 1449-1460 (2023) - [j128]Honghai Ji
Adaptive Iterative Learning Kalman Consensus Filtering for High-Speed Train Identification and Estimation. IEEE Trans. Intell. Transp. Syst. 24(5): 4988-5002 (2023) - [j127]Jianmin Zheng
ESO-Based Model-Free Adaptive Iterative Learning Energy-Efficient Control for Subway Train With Disturbances and Over-Speed Protection. IEEE Trans. Intell. Transp. Syst. 24(8): 8136-8148 (2023) - [j126]Jianmin Zheng
Data-Driven Spatial Adaptive Terminal Iterative Learning Predictive Control for Automatic Stop Control of Subway Train With Actuator Saturation. IEEE Trans. Intell. Transp. Syst. 24(10): 11453-11465 (2023) - [j125]Yukan Zheng, Yuan-Xin Li
Adaptive NN-Based Event-Triggered Containment Control for Unknown Nonlinear Networked Systems. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2742-2752 (2023) - [j124]Jiaqi Liang
Data-Driven Bipartite Formation for a Class of Nonlinear MIMO Multiagent Systems. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3161-3173 (2023) - [j123]Yu Hui
Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-Antagonism Networks. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8262-8270 (2023) - [j122]Zhenzhen Pan
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks. IEEE Trans. Signal Inf. Process. over Networks 9: 84-94 (2023) - [j121]Fanghui Li
Distributed Model-Free Adaptive Control for MIMO Nonlinear Multiagent Systems Under Deception Attacks. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2281-2291 (2023) - [j120]Na Lin
Data-Driven Virtual Reference Set-Point Learning of PD Control and Applications to Permanent Magnet Linear Motors. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4142-4154 (2023) - [j119]Xian Yu
Data-Driven Distributed Adaptive Consensus Tracking of Nonlinear Multiagent Systems: A Controller-Based Dynamic Linearization Method. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6953-6965 (2023) - [j118]Panpan Zhu
Distributed Data-Driven Control for a Connected Heterogeneous Vehicle Platoon Under Quantized and Switching Topologies Communication. IEEE Trans. Veh. Technol. 72(8): 9796-9807 (2023) - 2022
- [j117]Bo Xu
Adaptive command filtered fixed-time control of nonlinear systems with input quantization. Appl. Math. Comput. 427: 127186 (2022) - [j116]Huimin Zhang, Ronghu Chi, Zhongsheng Hou, Biao Huang:
Quantisation compensated data-driven iterative learning control for nonlinear systems. Int. J. Syst. Sci. 53(2): 275-290 (2022) - [j115]Zhenzhen Pan, Zhongsheng Hou, Ronghu Chi
Distributed model-free adaptive predictive control for heterogeneous nonlinear multi-agent systems. Int. J. Syst. Sci. 53(14): 3027-3041 (2022) - [j114]Shida Liu, Zhen Li, Honghai Ji, Li Wang, Zhongsheng Hou:
A Novel Anti-Saturation Model-Free Adaptive Control Algorithm and Its Application in the Electric Vehicle Braking Energy Recovery System. Symmetry 14(3): 580 (2022) - [j113]Shida Liu, Xuyun Wang, Honghai Ji, Li Wang, Zhongsheng Hou:
A Novel Driver Abnormal Behavior Recognition and Analysis Strategy and Its Application in a Practical Vehicle. Symmetry 14(10): 1956 (2022) - [j112]Xian Yu
Distributed Data-Driven Iterative Learning Consensus Tracking for Nonlinear Discrete-Time Multiagent Systems. IEEE Trans. Autom. Control. 67(7): 3670-3677 (2022) - [j111]Ronghu Chi
Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations. IEEE Trans. Cybern. 52(1): 531-543 (2022) - [j110]Genfeng Liu
Cooperative Adaptive Iterative Learning Fault-Tolerant Control Scheme for Multiple Subway Trains. IEEE Trans. Cybern. 52(2): 1098-1111 (2022) - [j109]Ronghu Chi
Quantitative Data-Driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-Point Tracking. IEEE Trans. Cybern. 52(6): 4859-4873 (2022) - [j108]Xian Yu
A Data-Driven ILC Framework for a Class of Nonlinear Discrete-Time Systems. IEEE Trans. Cybern. 52(7): 6143-6157 (2022) - [j107]Xiaoyan Hu
Event-Triggered Fuzzy Adaptive Fixed-Time Tracking Control for Nonlinear Systems. IEEE Trans. Cybern. 52(7): 7206-7217 (2022) - [j106]Xuhui Bu
Event-Triggered Model-Free Adaptive Iterative Learning Control for a Class of Nonlinear Systems Over Fading Channels. IEEE Trans. Cybern. 52(9): 9597-9608 (2022) - [j105]Xuhui Bu
Event-Triggered Data-Driven Load Frequency Control for Multiarea Power Systems. IEEE Trans. Ind. Informatics 18(9): 5982-5991 (2022) - [j104]Zhongsheng Hou
Constrained Model Free Adaptive Predictive Perimeter Control and Route Guidance for Multi-Region Urban Traffic Systems. IEEE Trans. Intell. Transp. Syst. 23(2): 912-924 (2022) - [j103]Zhenxuan Li
Constrained Spatial Adaptive Iterative Learning Control for Trajectory Tracking of High Speed Train. IEEE Trans. Intell. Transp. Syst. 23(8): 11720-11728 (2022) - [j102]Qian Wang
Data-Driven Event-Triggered Cooperative Control for Multiple Subway Trains With Switching Topologies. IEEE Trans. Intell. Transp. Syst. 23(9): 14702-14711 (2022) - [j101]Qian Wang
Compensation-Based Cooperative MFAILC for Multiple Subway Trains Under Asynchronous Data Dropouts. IEEE Trans. Intell. Transp. Syst. 23(12): 23750-23760 (2022) - [j100]Shuangshuang Xiong
Model-Free Adaptive Control for Unknown MIMO Nonaffine Nonlinear Discrete-Time Systems With Experimental Validation. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1727-1739 (2022) - [j99]Ronghu Chi
Data-Driven Adaptive Consensus Learning From Network Topologies. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3487-3497 (2022) - [j98]Yuanxin Li
Event-Based Design of Finite-Time Adaptive Control of Uncertain Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3804-3813 (2022) - [j97]Shuangshuang Xiong
Data-Driven Formation Control for Unknown MIMO Nonlinear Discrete-Time Multi-Agent Systems With Sensor Fault. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7728-7742 (2022) - [j96]Yuan-Xin Li
Event-Based Adaptive Neural Asymptotic Tracking Control for Networked Nonlinear Stochastic Systems. IEEE Trans. Netw. Sci. Eng. 9(4): 2290-2300 (2022) - [j95]Wei Yu
Security Data-Driven Control for Nonlinear Systems Subject to Deception and False Data Injection Attacks. IEEE Trans. Netw. Sci. Eng. 9(4): 2910-2921 (2022) - [j94]Wei Yu
Resilient Model-Free Adaptive Iterative Learning Control for Nonlinear Systems Under Periodic DoS Attacks via a Fading Channel. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4117-4128 (2022) - [j93]Xian Yu
Controller-Dynamic-Linearization-Based Data-Driven ILC for Nonlinear Discrete-Time Systems With RBFNN. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 4981-4992 (2022) - [j92]Ronghu Chi
Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5068-5080 (2022) - [j91]Qian Wang
Cooperative MFAILC for Multiple Subway Trains With Actuator Faults and Actuator Saturation. IEEE Trans. Veh. Technol. 71(8): 8164-8174 (2022) - [c37]Wenjia Wang, Zhongsheng Hou:
Model-free Adaptive Parking Control for Four-Wheel Vehicle. ASCC 2022: 2150-2156 - [c36]Jianmin Zheng, Zhongsheng Hou:
Data-Driven Model Free Adaptive Iterative Learning Compensation Control for MIMO Nonlinear System with Sensor Faults. ASCC 2022: 2169-2174 - 2021
- [j90]Shida Liu, Honghai Ji, Zhongsheng Hou, Jiashuo Zuo, Lingling Fan
Data-driven online modelling for a UGI gasification process using modified lazy learning with a relevance vector machine. Int. J. Appl. Math. Comput. Sci. 31(2): 321-335 (2021) - [j89]Ronghu Chi, Yangchun Wei, Rongrong Wang, Zhongsheng Hou:
Observer based switching ILC for consensus of nonlinear nonaffine multi-agent systems. J. Frankl. Inst. 358(12): 6195-6216 (2021) - [j88]Ronghu Chi
Convergence Analysis of Sampled-Data ILC for Locally Lipschitz Continuous Nonlinear Nonaffine Systems With Nonrepetitive Uncertainties. IEEE Trans. Autom. Control. 66(7): 3347-3354 (2021) - [j87]Ronghu Chi
Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems. IEEE Trans. Autom. Control. 66(12): 5955-5967 (2021) - [j86]Qi Meng
Active Disturbance Rejection Based Repetitive Learning Control With Applications in Power Inverters. IEEE Trans. Control. Syst. Technol. 29(5): 2038-2048 (2021) - [j85]Yanjun Liang
Adaptive Fuzzy Asymptotic Tracking for Nonlinear Systems With Nonstrict-Feedback Structure. IEEE Trans. Cybern. 51(2): 853-861 (2021) - [j84]Qiongxia Yu
Adaptive Fuzzy Iterative Learning Control for High-Speed Trains With Both Randomly Varying Operation Lengths and System Constraints. IEEE Trans. Fuzzy Syst. 29(8): 2408-2418 (2021) - [j83]Yuan-Xin Li
Event-Based Adaptive Fuzzy Asymptotic Tracking Control of Uncertain Nonlinear Systems. IEEE Trans. Fuzzy Syst. 29(10): 3003-3013 (2021) - [j82]Genfeng Liu
Adaptive Iterative Learning Control for Subway Trains Using Multiple-Point-Mass Dynamic Model Under Speed Constraint. IEEE Trans. Intell. Transp. Syst. 22(3): 1388-1400 (2021) - [j81]Dai Li
Perimeter Control of Urban Traffic Networks Based on Model-Free Adaptive Control. IEEE Trans. Intell. Transp. Syst. 22(10): 6460-6472 (2021) - [j80]Xian Yu
Data-Driven Iterative Learning Control for Nonlinear Discrete-Time MIMO Systems. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1136-1148 (2021) - [j79]Xuhui Bu
Data-Driven Terminal Iterative Learning Consensus for Nonlinear Multiagent Systems With Output Saturation. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1963-1973 (2021) - [j78]Na Lin
Event-Triggered Nonlinear Iterative Learning Control. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5118-5128 (2021) - [j77]Yu Hui, Ronghu Chi
Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1881-1891 (2021) - [j76]Genfeng Liu
RBFNN-Based Adaptive Iterative Learning Fault-Tolerant Control for Subway Trains With Actuator Faults and Speed Constraint. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5785-5799 (2021) - [j75]Yu Hui
Observer-Based Sampled-Data Model-Free Adaptive Control for Continuous-Time Nonlinear Nonaffine Systems With Input Rate Constraints. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7813-7822 (2021) - 2020
- [j74]Yongqiang Li, Chaolun Lu, Zhongsheng Hou, Yuanjing Feng:
Data-driven robust stabilization with robust domain of attraction estimate for nonlinear discrete-time systems. Autom. 119: 109031 (2020) - [j73]Shuangshuang Xiong, Zhongsheng Hou, Chenkun Yin:
Quasi-Newton method based control design for unknown nonlinear systems with input constraints. Sci. China Inf. Sci. 63(5) (2020) - [j72]Qiongxia Yu
Observer-based data-driven constrained norm optimal iterative learning control for unknown non-affine non-linear systems with both available and unavailable system states. J. Frankl. Inst. 357(10): 5852-5877 (2020) - [j71]Wei Yu, Rui Wang, Xuhui Bu, Zhongsheng Hou:
Model free adaptive control for a class of nonlinear systems with fading measurements. J. Frankl. Inst. 357(12): 7743-7760 (2020) - [j70]Jianmin Xing, Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Data-driven nonlinear ILC with varying trial lengths. J. Frankl. Inst. 357(15): 10262-10287 (2020) - [j69]Xuhui Bu
Finite-Time Consensus for Linear Multi-Agent Systems Using Data-Driven Terminal ILC. IEEE Trans. Circuits Syst. II Express Briefs 67-II(10): 2029-2033 (2020) - [j68]Ronghu Chi
Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation Control. IEEE Trans. Cybern. 50(10): 4358-4369 (2020) - [j67]Ronghu Chi
Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization. IEEE Trans. Ind. Electron. 67(10): 8691-8701 (2020) - [j66]Baolin Zhang, Rongmin Cao
The model-free adaptive cross-coupled control for two-dimensional linear motor. Trans. Inst. Meas. Control 42(5): 1059-1069 (2020) - [j65]Gaoyang Jiang
A data-driven approach for trajectory-based aircraft operation with controlled time of arrival and along-track wind effects. Trans. Inst. Meas. Control 42(12): 2166-2177 (2020) - [j64]Ting Lei
Data-Driven Model Free Adaptive Perimeter Control for Multi-Region Urban Traffic Networks With Route Choice. IEEE Trans. Intell. Transp. Syst. 21(7): 2894-2905 (2020) - [j63]Yu Hui, Ronghu Chi
3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks. IEEE Trans. Neural Networks Learn. Syst. 31(1): 89-99 (2020) - [j62]Qiongxia Yu, Zhongsheng Hou, Xuhui Bu, Qiongfang Yu:
RBFNN-Based Data-Driven Predictive Iterative Learning Control for Nonaffine Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1170-1182 (2020) - [j61]Xuhui Bu
Quantized Data Driven Iterative Learning Control for a Class of Nonlinear Systems With Sensor Saturation. IEEE Trans. Syst. Man Cybern. Syst. 50(12): 5119-5129 (2020) - [c35]Xian Yu, Zhongsheng Hou, Marios M. Polycarpou:
Model-Free Adaptive Learning Formation Control of Nonlinear Non-Affine Multi-Agent Systems. CDC 2020: 4037-4042 - [i4]Chaolun Lu, Yongqiang Li, Zijun Feng, Zhongsheng Hou, Yu Feng, Yuanjing Feng:
Interval-driven discrete-time general nonlinear robust control: stabilization with closed-loop robust DOA enlargement. CoRR abs/2012.00951 (2020)
2010 – 2019
- 2019
- [j60]Li Duan
Data-Driven Model-Free Adaptive Attitude Control Approach for Launch Vehicle With Virtual Reference Feedback Parameters Tuning Method. IEEE Access 7: 54106-54116 (2019) - [j59]Yuan Guo
Data-Driven Model-Free Adaptive Predictive Control for a Class of MIMO Nonlinear Discrete-Time Systems With Stability Analysis. IEEE Access 7: 102852-102866 (2019) - [j58]Rongmin Cao
Model Free Adaptive Iterative Learning Control for Tool Feed System in Noncircular Turning. IEEE Access 7: 113712-113725 (2019) - [j57]Yongqiang Li, Chengzan Yang, Zhongsheng Hou, Yuanjing Feng, Chenkun Yin:
Data-driven approximate Q-learning stabilization with optimality error bound analysis. Autom. 103: 435-442 (2019) - [j56]Na Lin, Ronghu Chi
Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control. J. Frankl. Inst. 356(1): 457-473 (2019) - [j55]Xuhui Bu, Sen Wang, Zhongsheng Hou, Wei Liu:
Model free adaptive iterative learning control for a class of nonlinear systems with randomly varying iteration lengths. J. Frankl. Inst. 356(5): 2491-2504 (2019) - [j54]Na Lin, Ronghu Chi, Biao Huang, Zhongsheng Hou:
Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach. J. Frankl. Inst. 356(13): 7009-7027 (2019) - [j53]Zhongsheng Hou
On Model-Free Adaptive Control and Its Stability Analysis. IEEE Trans. Autom. Control. 64(11): 4555-4569 (2019) - [j52]Qi Meng
Data-driven multi-inverter cooperative control for voltage tracking and current sharing in islanded AC microgrids. Trans. Inst. Meas. Control 41(11): 3145-3157 (2019) - [j51]Shida Liu
A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3444-3457 (2019) - [j50]Xuhui Bu
Model Free Adaptive Iterative Learning Consensus Tracking Control for a Class of Nonlinear Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 49(4): 677-686 (2019) - [j49]Ronghu Chi
An Improved Data-Driven Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental Verification. IEEE Trans. Syst. Man Cybern. Syst. 49(4): 687-696 (2019) - [c34]Shuangshuang Xiong, Zhongsheng Hou, Xian Yu:
Data-driven Formation Control for a Class of Unknown Heterogeneous Discrete-time MIMO Multi-agent System with Switching Topology. ASCC 2019: 277-282 - [c33]Hansong Yu, Zhongsheng Hou, Xian Yu:
A Controller-Dynamic-Linearization-Based Model Predictive Control Approach for SISO Discrete-time Nonlinear Systems. ASCC 2019: 1054-1059 - [c32]Yuanheng Zhu, Haibo He, Dongbin Zhao, Zhongsheng Hou:
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming. IJCNN 2019: 1-8 - [c31]Dai Li
Urban Traffic Control Based on Model Free Adaptive Iterative Learning Control Scheme. ITSC 2019: 2926-2931 - [i3]Yongqiang Li, Chaolun Lu, Zhongsheng Hou, Yuanjing Feng:
Data-Driven Robust Stabilization with RobustDomain of Attraction Estimate for Nonlinear Discrete-Time Systems. CoRR abs/1909.12561 (2019) - [i2]Chaolun Lu, Yongqiang Li, Zhongsheng Hou, Yuanjing Feng, Yu Feng, Ronghu Chi, Xuhui Bu:
Data-Driven Robust Stabilization with Robust DOA Enlargement for Nonlinear Systems. CoRR abs/1912.11480 (2019) - [i1]Yongqiang Li, Chaolun Lu, Yinan Li, Zhongsheng Hou, Yu Feng, Yuanjing Feng:
Stabilization with Closed-loop DOA Enlargement: An Interval Analysis Approach. CoRR abs/1912.11775 (2019) - 2018
- [j48]Qiongxia Yu
D-Type ILC Based Dynamic Modeling and Norm Optimal ILC for High-Speed Trains. IEEE Trans. Control. Syst. Technol. 26(2): 652-663 (2018) - [j47]Xuhui Bu
Adaptive Iterative Learning Control for Linear Systems With Binary-Valued Observations. IEEE Trans. Neural Networks Learn. Syst. 29(1): 232-237 (2018) - [j46]Xuhui Bu
Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1514-1524 (2018) - [j45]Ronghu Chi
Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5971-5980 (2018) - [c30]Zhongsheng Hou, Xian Yu, Chenkun Yin:
A Data-Driven Iterative Learning Control Framework Based on Controller Dynamic Linearization. ACC 2018: 5588-5593 - 2017
- [j44]Honghai Ji
Distributed information-weighted Kalman consensus filter for sensor networks. Autom. 77: 18-30 (2017) - [j43]Yongqiang Li, Zhongsheng Hou, Yuanjing Feng, Ronghu Chi:
Data-driven approximate value iteration with optimality error bound analysis. Autom. 78: 79-87 (2017) - [j42]Ying-Chung Wang, Chiang-Ju Chien, Ronghu Chi, Zhongsheng Hou, Ching-Hung Lee:
Adaptive Iterative Learning Control for Freeway Traffic Flow Systems Using Improved Bacterial Foraging Optimized Desired Traffic Densities Planning. Int. J. Fuzzy Syst. 19(5): 1492-1511 (2017) - [j41]Zhongsheng Hou, Huijun Gao, Frank L. Lewis:
Data-Driven Control and Learning Systems. IEEE Trans. Ind. Electron. 64(5): 4070-4075 (2017) - [j40]Zhongsheng Hou, Ronghu Chi
An Overview of Dynamic-Linearization-Based Data-Driven Control and Applications. IEEE Trans. Ind. Electron. 64(5): 4076-4090 (2017) - [j39]Yuanming Zhu, Zhongsheng Hou, Feng Qian, Wenli Du:
Dual RBFNNs-Based Model-Free Adaptive Control With Aspen HYSYS Simulation. IEEE Trans. Neural Networks Learn. Syst. 28(3): 759-765 (2017) - [j38]Zhongsheng Hou, Shida Liu
Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1914-1928 (2017) - [c29]Xin Zhang, Zhongsheng Hou, Shida Liu:
Robust model free adaptive control for a class of nonlinear MIMO systems with measurement noise and data dropout. ASCC 2017: 126-131 - [c28]Shuangshuang Xiong, Shangtai Jin, Zhongsheng Hou:
PID-based stability analysis for unknown affine nonlinear discrete-time systems. ASCC 2017: 659-664 - [c27]Haijun Gong, Chenkun Yin, Fang Zhang, Zhongsheng Hou, Ruikun Zhang:
A path planning algorithm for unmanned vehicles based on target-oriented rapidly-exploring random tree. ASCC 2017: 760-765 - [c26]Ye Ren, Zhongsheng Hou, Ting Lei:
Two-region macroscopic traffic network perimeter control via model free adaptive control based strategy. ASCC 2017: 899-904 - 2016
- [j37]Ruikun Zhang, Zhongsheng Hou, Honghai Ji, Chenkun Yin:
Adaptive iterative learning control for a class of non-linearly parameterised systems with input saturations. Int. J. Syst. Sci. 47(5): 1084-1094 (2016) - [j36]Qiongxia Yu
Adaptive iterative learning control for nonlinear uncertain systems with both state and input constraints. J. Frankl. Inst. 353(15): 3920-3943 (2016) - [j35]Honghai Ji
Adaptive Iterative Learning Control for High-Speed Trains With Unknown Speed Delays and Input Saturations. IEEE Trans Autom. Sci. Eng. 13(1): 260-273 (2016) - [j34]Zhongsheng Hou, Xingyi Li:
Repeatability and Similarity of Freeway Traffic Flow and Long-Term Prediction Under Big Data. IEEE Trans. Intell. Transp. Syst. 17(6): 1786-1796 (2016) - [j33]Shida Liu, Zhongsheng Hou, Chenkun Yin:
Data-Driven Modeling for UGI Gasification Processes via an Enhanced Genetic BP Neural Network With Link Switches. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2718-2729 (2016) - [c25]Ying Ding, Shangtai Jin, Chenkun Yin, Zhongsheng Hou:
ILC based perimeter control for an urban traffic network. ICARCV 2016: 1-6 - [c24]Shida Liu, Zhongsheng Hou, Zhenxuan Li:
Data-driven model-free adaptive control based on a novel double successive projection algorithm. ICARCV 2016: 1-6 - 2015
- [j32]Ronghu Chi, Zhongsheng Hou, Biao Huang
A unified data-driven design framework of optimality-based generalized iterative learning control. Comput. Chem. Eng. 77: 10-23 (2015) - [j31]Yu Liu, Ronghu Chi, Zhongsheng Hou:
Neural network state learning based adaptive terminal ILC for tracking iteration-varying target points. Int. J. Autom. Comput. 12(3): 266-272 (2015) - [j30]Yinlong Hu
Multiplexed model predictive control for active vehicle suspensions. Int. J. Control 88(2): 347-363 (2015) - [j29]Ruikun Zhang, Zhongsheng Hou, Ronghu Chi, Honghai Ji:
Adaptive iterative learning control for nonlinearly parameterised systems with unknown time-varying delays and input saturations. Int. J. Control 88(6): 1133-1141 (2015) - [j28]Ying-Chung Wang, Chiang-Ju Chien, Ronghu Chi, Zhongsheng Hou:
A Fuzzy-Neural Adaptive Terminal Iterative Learning Control for Fed-Batch Fermentation Processes. Int. J. Fuzzy Syst. 17(3): 423-433 (2015) - [j27]Ronghu Chi, Zhongsheng Hou, Shangtai Jin:
A data-driven adaptive ILC for a class of nonlinear discrete-time systems with random initial states and iteration-varying target trajectory. J. Frankl. Inst. 352(6): 2407-2424 (2015) - [j26]Ronghu Chi
Enhanced Data-Driven Optimal Terminal ILC Using Current Iteration Control Knowledge. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2939-2948 (2015) - [c23]Zhihui Cheng, Zhongsheng Hou, Shangtai Jin:
MFAC-based balance control for freeway and auxiliary road system with multi-intersections. ASCC 2015: 1-6 - [c22]Ronghu Chi, Yu Liu, Zhongsheng Hou, Shangtai Jin:
Adaptive iterative learning control approach for PH neutralization of batch processes. ASCC 2015: 1-5 - [c21]Yuanming Zhu, Feng Qian, Zhongsheng Hou, Shangtai Jin:
Data-driven model free adaptive control for a class of interconnected systems. ASCC 2015: 1-6 - 2014
- [j25]Xuhui Bu, Hongqi Wang, Zhongsheng Hou, Wei Qian:
H∞ control for a class of 2-D nonlinear systems with intermittent measurements. Appl. Math. Comput. 247: 651-662 (2014) - [j24]Rongmin Cao, Zhongsheng Hou, Huixing Zhou:
Data-driven Nonparametric Model Adaptive Precision Control for Linear Servo Systems. Int. J. Autom. Comput. 11(5): 517-526 (2014) - [j23]Xuhui Bu, Zhongsheng Hou, Fashan Yu, Fuzhong Wang:
H∞ iterative learning controller design for a class of discrete-time systems with data dropouts. Int. J. Syst. Sci. 45(9): 1902-1912 (2014) - [j22]Ronghu Chi
Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition. J. Appl. Math. 2014: 191256:1-191256:9 (2014) - [j21]Shangtai Jin, Zhongsheng Hou, Ronghu Chi
A Novel Data-Driven Terminal Iterative Learning Control with Iteration Prediction Algorithm for a Class of Discrete-Time Nonlinear Systems. J. Appl. Math. 2014: 307809:1-307809:9 (2014) - [j20]Yongqiang Li, Zhongsheng Hou:
Data-driven asymptotic stabilization for discrete-time nonlinear systems. Syst. Control. Lett. 64: 79-85 (2014) - [c20]Shida Liu, Zhongsheng Hou, Chenkun Yin:
Data-driven modeling for fixed-bed intermittent gasification processes by enhanced lazy learning incorporated with relevance vector machine. ICCA 2014: 1019-1024 - [c19]Ronghu Chi, Zhongsheng Hou, Shangtai Jin, Chiang-Ju Chien, Danwei Wang:
Terminal ILC design and analysis via a dynamical predictive model. ICCA 2014: 1156-1161 - [c18]Shida Liu, Zhongsheng Hou, Chenkun Yin:
Data driven modeling for UGI gasification process via a variable structure genetic BP neural network. IJCNN 2014: 1071-1078 - 2013
- [j19]Heqing Sun, Zhongsheng Hou, Dayou Li:
Coordinated Iterative Learning Control Schemes for Train Trajectory Tracking With Overspeed Protection. IEEE Trans Autom. Sci. Eng. 10(2): 323-333 (2013) - [j18]Zhongsheng Hou, Yuanming Zhu:
Controller-Dynamic-Linearization-Based Model Free Adaptive Control for Discrete-Time Nonlinear Systems. IEEE Trans. Ind. Informatics 9(4): 2301-2309 (2013) - [j17]Ronghu Chi, Zhongsheng Hou, Shangtai Jin, Danwei Wang, Jiangen Hao:
A Data-Driven Iterative Feedback Tuning Approach of ALINEA for Freeway Traffic Ramp Metering With PARAMICS Simulations. IEEE Trans. Ind. Informatics 9(4): 2310-2317 (2013) - [j16]Xin Xu
Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines. IEEE Trans. Neural Networks Learn. Syst. 24(5): 762-775 (2013) - [c17]Heqing Sun, Zhongsheng Hou:
An iterative predictive learning control approach with application to train trajectory tracking. ASCC 2013: 1-6 - [c16]Zhenxuan Li, Chenkun Yin, Shangtai Jin, Zhongsheng Hou:
Iterative learning control based automatic train operation with iteration-varying parameter. ICCA 2013: 51-56 - 2012
- [j15]Zhongsheng Hou, Jingwen Yan, Jian-Xin Xu, Zhenjiang Li:
Modified Iterative-Learning-Control-Based Ramp Metering Strategies for Freeway Traffic Control With Iteration-Dependent Factors. IEEE Trans. Intell. Transp. Syst. 13(2): 606-618 (2012) - [c15]Heqing Sun, Zhongsheng Hou, Dayou Li:
A norm optimal iterative learning control based train trajectory tracking approach. CDC 2012: 3966-3971 - [c14]Yuanming Zhu, Zhongsheng Hou:
Controller compact form dynamic linearization based model free adaptive control. CDC 2012: 4817-4822 - [c13]Ronghu Chi, Zhongsheng Hou, Shangtai Jin, Danwei Wang:
A new dynamical linearization based adaptive ILC for nonlinear discrete-time MIMO systems. ICARCV 2012: 442-446 - 2011
- [j14]Zhongsheng Hou, Xuhui Bu:
Model free adaptive control with data dropouts. Expert Syst. Appl. 38(8): 10709-10717 (2011) - [j13]Xuhui Bu, Zhongsheng Hou:
Stability of iterative learning control with data dropouts via asynchronous dynamical system. Int. J. Autom. Comput. 8(1): 29-36 (2011) - [j12]Zhongsheng Hou, Yi Wang, Chenkun Yin, Tao Tang:
Terminal iterative learning control based station stop control of a train. Int. J. Control 84(7): 1263-1274 (2011) - [j11]Chenkun Yin, Jian-Xin Xu, Zhongsheng Hou:
Corrections to "A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters" [Nov 10 2665-2670]. IEEE Trans. Autom. Control. 56(1): 235 (2011) - [j10]Zhongsheng Hou, Shangtai Jin:
A Novel Data-Driven Control Approach for a Class of Discrete-Time Nonlinear Systems. IEEE Trans. Control. Syst. Technol. 19(6): 1549-1558 (2011) - [j9]Zhongsheng Hou, Xin Xu
A Complementary Modularized Ramp Metering Approach Based on Iterative Learning Control and ALINEA. IEEE Trans. Intell. Transp. Syst. 12(4): 1305-1318 (2011) - [j8]Tianyou Chai, Zhongsheng Hou, Frank L. Lewis, Amir Hussain
Guest Editorial Data-Based Control, Modeling, and Optimization. IEEE Trans. Neural Networks 22(12): 2150-2153 (2011) - [j7]Zhongsheng Hou, Shangtai Jin:
Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems. IEEE Trans. Neural Networks 22(12): 2173-2188 (2011) - [j6]Dong Shen, Zhongsheng Hou:
Iterative Learning Control With Unknown Control Direction: A Novel Data-Based Approach. IEEE Trans. Neural Networks 22(12): 2237-2249 (2011) - [c12]Mingyue Yan, Zhongsheng Hou, Ying Gao:
A bilateral brain symmetry index for analysis of EEG signal in stroke patients. BMEI 2011: 8-11 - [c11]Rongmin Cao, Huixing Zhou, Zhongsheng Hou, Keshuai Jia:
Data-driven model-free direct adaptive generalized predictive control for linear motor based on cSPACE. EMEIT 2011: 404-408 - 2010
- [j5]Zhongsheng Hou, Ronghu Chi, Jianxin Xu:
Reply to "Comments on 'Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition"'. Autom. 46(3): 635-636 (2010) - [j4]Chenkun Yin, Jian-Xin Xu, Zhongsheng Hou:
A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters. IEEE Trans. Autom. Control. 55(11): 2665-2670 (2010) - [c10]Xuhui Bu, Zhongsheng Hou:
The robust stability of model free adaptive control with data dropouts. ICCA 2010: 1606-1611 - [c9]Ronghu Chi, Zhongsheng Hou:
Model-free periodic adaptive control for a class of SISO nonlinear discrete-time systems. ICCA 2010: 1623-1628
2000 – 2009
- 2009
- [j3]Ronghu Chi, Zhongsheng Hou:
A new neural network-based adaptive ILC for nonlinear discrete-time systems with dead zone scheme. J. Syst. Sci. Complex. 22(3): 435-445 (2009) - [c8]Chenkun Yin, Jian-Xin Xu, Zhongsheng Hou:
Iterative learning control design with high-order internal model for nonlinear systems. CDC 2009: 434-439 - [c7]Chenkun Yin, Jian-Xin Xu, Zhongsheng Hou:
An ILC scheme for a class of nonlinear systems with time-varying parameters subject to second-order internal model. CDC 2009: 452-457 - [c6]Deqing Huang, Jian-Xin Xu, Zhongsheng Hou:
A discrete-time periodic adaptive control approach for parametric-strict-feedback systems. CDC 2009: 6620-6625 - [c5]Weihong Wang, Zhongsheng Hou, Shangtai Jin:
Model-free indirect adaptive decoupling control for nonlinear discrete-time MIMO systems. CDC 2009: 7663-7668 - 2008
- [j2]Ronghu Chi, Zhongsheng Hou, Jianxin Xu:
Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition. Autom. 44(8): 2207-2213 (2008) - [c4]Zhenhua Wang, Zhongsheng Hou, Ying Gao, Qiang Liu:
Study on Scale Development of Boolean Medicine Data based on the GA and Improved k-NN Algorithm. BMEI (1) 2008: 367-371 - [c3]Zhenhua Wang, Zhongsheng Hou, Ying Gao, Qiang Liu:
Feature Weight and Its Application in Weight Determination of Medical Scale Items. ICNC (1) 2008: 202-206 - 2007
- [j1]Zhongsheng Hou, Jian-Xin Xu, Hongwei Zhong:
Freeway Traffic Control Using Iterative Learning Control-Based Ramp Metering and Speed Signaling. IEEE Trans. Veh. Technol. 56(2): 466-477 (2007) - [c2]Yanxin Zhang, Junfeng Xu, Ying Gao, Zhongsheng Hou:
Study on Relationship Between NIHSS and TCM-SSASD Based on the BP Neural Network Multiple Models Method. ISNN (3) 2007: 17-25 - 2005
- [c1]Zhongsheng Hou, Jian-Xin Xu, Daming Jiang:
The Iterative Learning Control Based Local Traffic Volume Control Approach via Ramp Metering. CDC/ECC 2005: 2883-2888
Coauthor Index
[j160] [j152] [j151] [j147] [j143] [j138] [j133] [j123] [j122] [j120] [j116] [j115] [j111] [j109] [j99] [j92] [j89] [j88] [j87] [j79] [j78] [j77] [j75] [j70] [j68] [j67] [j63] [j56] [j54] [j49] [i2] [j45] [j43] [j42] [j40] [j36] [j32] [j31] [j29] [j28] [j27] [j26] [c22] [j22] [j21] [c19] [j17] [c13] [j5] [c9] [j3] [j2]
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