Ronghu Chi

Trans. Inst. Meas. Control, 2019

Discrete-time adaptive iterative learning control with incorporation of a priori process knowledge.

[BibT_eX]

[DOI]

Trans. Inst. Meas. Control, 2019

Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2019

Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2019

Linear Data-Model Based Adaptive ILC for Freeway Ramp Metering without Identical Conditions on Initial States and Reference Trajectory.

[BibT_eX]

[DOI]

Inf. Technol. Control., 2019

Data-Driven Robust Stabilization with Robust DOA Enlargement for Nonlinear Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Iterative Learning Based Accumulative Disturbance Observer for Repetitive Systems via a Virtual Linear Data Model.

[BibT_eX]

[DOI]

Yangchun Wei

Rongrong Wang

IEEE Access, 2019

Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems.

[BibT_eX]

[DOI]

Na Lin

Biao Huang

IEEE Access, 2019

Data-Driven Stochastic Optimal Iterative Learning Control for Nonlinear Non-Affine Systems With Measurement Data Loss.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

An Overview of Dynamic-Linearization-Based Data-Driven Control and Applications.

[BibT_eX]

[DOI]

Huijun Gao

IEEE Trans. Ind. Electron., 2017

Adaptive Iterative Learning Control for Freeway Traffic Flow Systems Using Improved Bacterial Foraging Optimized Desired Traffic Densities Planning.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2017

Data-driven approximate value iteration with optimality error bound analysis.

[BibT_eX]

[DOI]

Autom., 2017

2016

Adaptive iterative learning control for nonlinear uncertain systems with both state and input constraints.

[BibT_eX]

[DOI]

Qiongxia Yu

J. Frankl. Inst., 2016

A data-driven iterative learning control for I/O constrained nonlinear systems.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Control, 2016

2015

Enhanced Data-Driven Optimal Terminal ILC Using Current Iteration Control Knowledge.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2015

A Fuzzy-Neural Adaptive Terminal Iterative Learning Control for Fed-Batch Fermentation Processes.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2015

Adaptive iterative learning control for nonlinearly parameterised systems with unknown time-varying delays and input saturations.

[BibT_eX]

[DOI]

Int. J. Control, 2015

Neural network state learning based adaptive terminal ILC for tracking iteration-varying target points.

[BibT_eX]

[DOI]

Yu Liu

Int. J. Autom. Comput., 2015

On the current error based sampled-data iterative learning control with reduced memory capacity.

[BibT_eX]

[DOI]

Chiang-Ju Chien

Yu-Chung Hung

Int. J. Autom. Comput., 2015

A unified data-driven design framework of optimality-based generalized iterative learning control.

[BibT_eX]

[DOI]

Comput. Chem. Eng., 2015

Adaptive iterative learning control approach for PH neutralization of batch processes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Appl. Math., 2014

Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition.

[BibT_eX]

[DOI]

J. Appl. Math., 2014

Design and analysis of current error based sampled-data ILC with application to position tracking control of DC motors.

[BibT_eX]

[DOI]

Chiang-Ju Chien

Yu-Chung Hung

Proceedings of the 11th IEEE International Conference on Control & Automation, 2014

Terminal ILC design and analysis via a dynamical predictive model.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Control & Automation, 2014

Sample-data adaptive iterative learning control for a class of unknown nonlinear systems.

[BibT_eX]

[DOI]

Chiang-Ju Chien

Ying-Chung Wang

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.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2013

Neural network based terminal iterative learning control for tracking run-varying reference point.

[BibT_eX]

[DOI]

Proceedings of the 9th Asian Control Conference, 2013

2012

An identification based indirect iterative learning control via data-driven approach.

[BibT_eX]

[DOI]

Tao Su

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.

[BibT_eX]

[DOI]

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"'.

[BibT_eX]

[DOI]

Jianxin Xu

Autom., 2010

Model-free periodic adaptive control for a class of SISO nonlinear discrete-time systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Syst. Sci. Complex., 2009

2008

Adaptive ILC for a class of discrete-time systems with iteration-varying trajectory and random initial condition.

[BibT_eX]

[DOI]