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Ronghu Chi
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2020 – today
- 2024
- [j77]Wenzhi Cui, Puzhao Li, Ronghu Chi
:
Data-driven predictive ILC for nonlinear nonaffine systems. Int. J. Syst. Sci. 55(9): 1868-1881 (2024) - [j76]Ronghu Chi
Performance-oriented design and analysis for direct data-driven control of multi-agent systems. Inf. Sci. 666: 120419 (2024) - [j75]Ning Sheng, Yang Liu, Ronghu Chi, Zidong Ai:
Adaptive Observer-Based Finite-Time Fault Tolerant Control for Non-Strict Feedback Systems. J. Syst. Sci. Complex. 37(4): 1526-1544 (2024) - [j74]Ronghu Chi
Data-Driven Indirect Iterative Learning Control. IEEE Trans. Cybern. 54(3): 1650-1660 (2024) - [j73]Ronghu Chi
Sampled-Data Model-Free Adaptive Control for Nonlinear Continuous-Time Systems. IEEE Trans. Cybern. 54(8): 4775-4788 (2024) - [j72]Ronghu Chi
Data-Driven Dynamic Internal Model Control. IEEE Trans. Cybern. 54(9): 5347-5359 (2024) - [j71]Wenlong Yao
Presynchronization control for ship microgrid of merchant marine inverters based on VSG algorithm with MFAC. Trans. Inst. Meas. Control 46(10): 1858-1870 (2024) - [j70]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) - [j69]Yu Hui
Sampled-Data Adaptive Iterative Learning Control for Uncertain Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 4568-4578 (2024) - [j68]Ronghu Chi
Data-Driven Finite-Iteration Learning Control. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5296-5306 (2024) - [j67]Na Lin
Double-Layered Iterative Learning Control for Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6033-6042 (2024) - 2023
- [j66]Na Lin, Ronghu Chi, Biao Huang:
Data-driven set-point control for nonlinear nonaffine systems. Inf. Sci. 625: 237-254 (2023) - [j65]Ronghu Chi
Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates. IEEE Trans. Autom. Control. 68(3): 1600-1613 (2023) - [j64]Huaying Li
Double Dynamic Linearization-Based Higher Order Indirect Adaptive Iterative Learning Control. IEEE Trans. Cybern. 53(6): 3506-3517 (2023) - [j63]Jian Xu, Na Lin
High-order model-free adaptive iterative learning control. Trans. Inst. Meas. Control 45(10): 1886-1895 (2023) - [j62]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) - [j61]Zhenzhen Pan
Compensation-Based Distributed Model-Free Adaptive Control for Cyber-Attacks. IEEE Trans. Signal Inf. Process. over Networks 9: 84-94 (2023) - [j60]Shiyong Sun, Ronghu Chi
Model-Free Adaptive Iterative Learning From Communicable Agents for Nonlinear Networks Consensus. IEEE Trans. Signal Inf. Process. over Networks 9: 458-467 (2023) - [j59]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) - [j58]Ronghu Chi
Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6805-6814 (2023) - 2022
- [j57]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) - [j56]Huaying Li, Na Lin, Ronghu Chi
Event-triggered iterative learning control for linear time-varying systems. Int. J. Syst. Sci. 53(5): 1110-1124 (2022) - [j55]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) - [j54]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) - [j53]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) - [j52]Na Lin
Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies. IEEE Trans. Cybern. 52(9): 8951-8961 (2022) - [j51]Yingzhen Yu, Na Lin
Data-driven adaptive tuning of iterative learning control. Trans. Inst. Meas. Control 44(15): 3016-3027 (2022) - [j50]Ronghu Chi
Data-Driven Adaptive Consensus Learning From Network Topologies. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3487-3497 (2022) - [j49]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) - [c10]Huimin Zhang, Ronghu Chi:
Second-order Quantized ILC for a class of Nonlinear Nonaffine Systems. ASCC 2022: 132-136 - 2021
- [j48]Na Lin, Ronghu Chi, Biao Huang:
Event-triggered learning consensus of networked heterogeneous nonlinear agents with switching topologies. J. Frankl. Inst. 358(7): 3803-3821 (2021) - [j47]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) - [j46]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) - [j45]Ronghu Chi
Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems. IEEE Trans. Autom. Control. 66(12): 5955-5967 (2021) - [j44]Huimin Zhang, Ronghu Chi
Multi-lagged-input information enhancing quantized iterative learning control. Trans. Inst. Meas. Control 43(2): 313-324 (2021) - [j43]Wenqing Liu, Ronghu Chi
Iterative learning control for nonlinear nonaffine networked systems with stochastic noise in communication channels. Trans. Inst. Meas. Control 43(14) (2021) - [j42]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) - [j41]Na Lin
Event-Triggered Nonlinear Iterative Learning Control. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5118-5128 (2021) - [j40]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) - [j39]Na Lin
Event-Triggered Model-Free Adaptive Control. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3358-3369 (2021) - [j38]Na Lin
Auxiliary Predictive Compensation-Based ILC for Variable Pass Lengths. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4048-4056 (2021) - [j37]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
- [j36]Shuhua Zhang, Yu Hui, Ronghu Chi
Nonholonomic dynamic linearisation based adaptive PID-type ILC for nonlinear systems with iteration-varying uncertainties. Int. J. Syst. Sci. 51(5): 903-921 (2020) - [j35]Ronghu Chi
Observer-based data-driven iterative learning control. Int. J. Syst. Sci. 51(13): 2343-2359 (2020) - [j34]Ronghu Chi, Yunkai Lv, Biao Huang:
Distributed iterative learning temperature control for multi-zone HVAC system. J. Frankl. Inst. 357(2): 810-831 (2020) - [j33]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) - [j32]Ronghu Chi
Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation Control. IEEE Trans. Cybern. 50(10): 4358-4369 (2020) - [j31]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) - [j30]Shuhua Zhang, Ronghu Chi
Model-free adaptive PID control for nonlinear discrete-time systems. Trans. Inst. Meas. Control 42(10): 1797-1807 (2020) - [j29]Rongrong Wang, Yangchun Wei, Ronghu Chi
Enhanced data-driven optimal iterative learning control for nonlinear non-affine discrete-time systems with iterative sliding-mode surface. Trans. Inst. Meas. Control 42(11): 1923-1934 (2020) - [j28]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)
2010 – 2019
- 2019
- [j27]Yangchun Wei, Rongrong Wang, Ronghu Chi
Iterative Learning Based Accumulative Disturbance Observer for Repetitive Systems via a Virtual Linear Data Model. IEEE Access 7: 79287-79298 (2019) - [j26]Hao Liang, Ronghu Chi
Data-Driven Stochastic Optimal Iterative Learning Control for Nonlinear Non-Affine Systems With Measurement Data Loss. IEEE Access 7: 133069-133078 (2019) - [j25]Na Lin, Ronghu Chi
Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems. IEEE Access 7: 133304-133313 (2019) - [j24]Hao Liang, Na Lin, Ronghu Chi, Yumei Sun:
Linear Data-Model Based Adaptive ILC for Freeway Ramp Metering without Identical Conditions on Initial States and Reference Trajectory. Inf. Technol. Control. 48(2): 268-277 (2019) - [j23]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) - [j22]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) - [j21]Hao Liang, Na Lin, Ronghu Chi
Discrete-time adaptive iterative learning control with incorporation of a priori process knowledge. Trans. Inst. Meas. Control 41(11): 3053-3064 (2019) - [j20]Na Lin, Hao Liang, Yunkai Lv, Ronghu Chi
A forgetting-factor based data-driven optimal terminal iterative learning control with applications to product concentration control of ethanol fermentation processes. Trans. Inst. Meas. Control 41(14): 3936-3942 (2019) - [j19]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) - [i1]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) - 2018
- [j18]Ronghu Chi
Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5971-5980 (2018) - 2017
- [j17]Yongqiang Li, Zhongsheng Hou, Yuanjing Feng, Ronghu Chi:
Data-driven approximate value iteration with optimality error bound analysis. Autom. 78: 79-87 (2017) - [j16]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) - [j15]Zhongsheng Hou, Ronghu Chi
An Overview of Dynamic-Linearization-Based Data-Driven Control and Applications. IEEE Trans. Ind. Electron. 64(5): 4076-4090 (2017) - 2016
- [j14]Qiongxia Yu
Adaptive iterative learning control for nonlinear uncertain systems with both state and input constraints. J. Frankl. Inst. 353(15): 3920-3943 (2016) - [c9]Ronghu Chi, Xiaohe Liu, Na Lin, Ruikun Zhang:
A data-driven iterative learning control for I/O constrained nonlinear systems. ICARCV 2016: 1-4 - 2015
- [j13]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) - [j12]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) - [j11]Chiang-Ju Chien, Yu-Chung Hung, Ronghu Chi:
On the current error based sampled-data iterative learning control with reduced memory capacity. Int. J. Autom. Comput. 12(3): 307-315 (2015) - [j10]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) - [j9]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) - [j8]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) - [j7]Ronghu Chi
Enhanced Data-Driven Optimal Terminal ILC Using Current Iteration Control Knowledge. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2939-2948 (2015) - [c8]Ronghu Chi, Yu Liu, Zhongsheng Hou, Shangtai Jin:
Adaptive iterative learning control approach for PH neutralization of batch processes. ASCC 2015: 1-5 - 2014
- [j6]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) - [j5]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) - [c7]Chiang-Ju Chien, Ying-Chung Wang, Ronghu Chi:
Sample-data adaptive iterative learning control for a class of unknown nonlinear systems. ICARCV 2014: 1461-1466 - [c6]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 - [c5]Chiang-Ju Chien, Yu-Chung Hung, Ronghu Chi:
Design and analysis of current error based sampled-data ILC with application to position tracking control of DC motors. ICCA 2014: 1162-1167 - 2013
- [j4]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) - [c4]Tianqi Liu, Danwei Wang, Ronghu Chi, Qiang Shen:
Neural network based terminal iterative learning control for tracking run-varying reference point. ASCC 2013: 1-5 - 2012
- [c3]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 - [c2]Ronghu Chi, Tao Su, Shangtai Jin:
An identification based indirect iterative learning control via data-driven approach. ICARCV 2012: 1773-1776 - 2010
- [j3]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) - [c1]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
- [j2]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) - 2008
- [j1]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)
Coauthor Index
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