Ronghu Chi
Orcid: 0000-0002-1325-7863
According to our database1,
Ronghu Chi
authored at least 79 papers
between 2008 and 2024.
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Bibliography
2024
Distributed Model-Free Adaptive Predictive Control for MIMO Multi-Agent Systems With Deception Attack.
IEEE Trans. Signal Inf. Process. over Networks, 2024
2023
Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-Antagonism Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Data-Driven Virtual Reference Set-Point Learning of PD Control and Applications to Permanent Magnet Linear Motors.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023
Double Dynamic Linearization-Based Higher Order Indirect Adaptive Iterative Learning Control.
IEEE Trans. Cybern., June, 2023
IEEE Trans. Autom. Control., March, 2023
Model-Free Adaptive Iterative Learning From Communicable Agents for Nonlinear Networks Consensus.
IEEE Trans. Signal Inf. Process. over Networks, 2023
IEEE Trans. Signal Inf. Process. over Networks, 2023
Trans. Inst. Meas. Control, 2023
2022
Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Trans. Inst. Meas. Control, 2022
Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies.
IEEE Trans. Cybern., 2022
Quantitative Data-Driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-Point Tracking.
IEEE Trans. Cybern., 2022
Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations.
IEEE Trans. Cybern., 2022
Quantisation compensated data-driven iterative learning control for nonlinear systems.
Int. J. Syst. Sci., 2022
Distributed model-free adaptive predictive control for heterogeneous nonlinear multi-agent systems.
Int. J. Syst. Sci., 2022
Int. J. Syst. Sci., 2022
Proceedings of the 13th Asian Control Conference, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Observer-Based Sampled-Data Model-Free Adaptive Control for Continuous-Time Nonlinear Nonaffine Systems With Input Rate Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2021
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., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Data-Driven Terminal Iterative Learning Consensus for Nonlinear Multiagent Systems With Output Saturation.
IEEE Trans. Neural Networks Learn. Syst., 2021
Trans. Inst. Meas. Control, 2021
Iterative learning control for nonlinear nonaffine networked systems with stochastic noise in communication channels.
Trans. Inst. Meas. Control, 2021
Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems.
IEEE Trans. Autom. Control., 2021
Convergence Analysis of Sampled-Data ILC for Locally Lipschitz Continuous Nonlinear Nonaffine Systems With Nonrepetitive Uncertainties.
IEEE Trans. Autom. Control., 2021
Event-triggered learning consensus of networked heterogeneous nonlinear agents with switching topologies.
J. Frankl. Inst., 2021
Observer based switching ILC for consensus of nonlinear nonaffine multi-agent systems.
J. Frankl. Inst., 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Trans. Inst. Meas. Control, 2020
Enhanced data-driven optimal iterative learning control for nonlinear non-affine discrete-time systems with iterative sliding-mode surface.
Trans. Inst. Meas. Control, 2020
Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization.
IEEE Trans. Ind. Electron., 2020
IEEE Trans. Cybern., 2020
J. Frankl. Inst., 2020
Nonholonomic dynamic linearisation based adaptive PID-type ILC for nonlinear systems with iteration-varying uncertainties.
Int. J. Syst. Sci., 2020
2019
An Improved Data-Driven Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental Verification.
IEEE Trans. Syst. Man Cybern. Syst., 2019
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, 2019
Discrete-time adaptive iterative learning control with incorporation of a priori process knowledge.
Trans. Inst. Meas. Control, 2019
Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach.
J. Frankl. Inst., 2019
Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control.
J. Frankl. Inst., 2019
Linear Data-Model Based Adaptive ILC for Freeway Ramp Metering without Identical Conditions on Initial States and Reference Trajectory.
Inf. Technol. Control., 2019
CoRR, 2019
Iterative Learning Based Accumulative Disturbance Observer for Repetitive Systems via a Virtual Linear Data Model.
IEEE Access, 2019
Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems.
IEEE Access, 2019
Data-Driven Stochastic Optimal Iterative Learning Control for Nonlinear Non-Affine Systems With Measurement Data Loss.
IEEE Access, 2019
2018
Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control.
IEEE Trans. Neural Networks Learn. Syst., 2018
2017
IEEE Trans. Ind. Electron., 2017
Adaptive Iterative Learning Control for Freeway Traffic Flow Systems Using Improved Bacterial Foraging Optimized Desired Traffic Densities Planning.
Int. J. Fuzzy Syst., 2017
Autom., 2017
2016
Adaptive iterative learning control for nonlinear uncertain systems with both state and input constraints.
J. Frankl. Inst., 2016
Proceedings of the 14th International Conference on Control, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
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., 2015
A Fuzzy-Neural Adaptive Terminal Iterative Learning Control for Fed-Batch Fermentation Processes.
Int. J. Fuzzy Syst., 2015
Adaptive iterative learning control for nonlinearly parameterised systems with unknown time-varying delays and input saturations.
Int. J. Control, 2015
Neural network state learning based adaptive terminal ILC for tracking iteration-varying target points.
Int. J. Autom. Comput., 2015
On the current error based sampled-data iterative learning control with reduced memory capacity.
Int. J. Autom. Comput., 2015
A unified data-driven design framework of optimality-based generalized iterative learning control.
Comput. Chem. Eng., 2015
Adaptive iterative learning control approach for PH neutralization of batch processes.
Proceedings of the 10th Asian Control Conference, 2015
2014
A Novel Data-Driven Terminal Iterative Learning Control with Iteration Prediction Algorithm for a Class of Discrete-Time Nonlinear Systems.
J. Appl. Math., 2014
Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition.
J. Appl. Math., 2014
Design and analysis of current error based sampled-data ILC with application to position tracking control of DC motors.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014
Sample-data adaptive iterative learning control for a class of unknown nonlinear systems.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
2013
A Data-Driven Iterative Feedback Tuning Approach of ALINEA for Freeway Traffic Ramp Metering With PARAMICS Simulations.
IEEE Trans. Ind. Informatics, 2013
Neural network based terminal iterative learning control for tracking run-varying reference point.
Proceedings of the 9th Asian Control Conference, 2013
2012
An identification based indirect iterative learning control via data-driven approach.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
A new dynamical linearization based adaptive ILC for nonlinear discrete-time MIMO systems.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2010
Reply to "Comments on 'Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition"'.
Autom., 2010
Model-free periodic adaptive control for a class of SISO nonlinear discrete-time systems.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010
2009
A new neural network-based adaptive ILC for nonlinear discrete-time systems with dead zone scheme.
J. Syst. Sci. Complex., 2009
2008
Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition.
Autom., 2008