Feature Selection and Feature Learning for High-dimensional Batch Reinforcement Learning: A Survey
De-Rong Liu;Hong-Liang Li;Ding Wang;State Key Laboratory of Management and Control for Complex Systems;Institute of Automation;Chinese Academy of Sciences;

..............page:229-242

Generalized Norm Optimal Iterative Learning Control with Intermediate Point and Sub-interval Tracking
David H.Owens;Chris T.Freeman;Bing Chu;Department of Automatic Control and Systems Engineering;University of Sheffield;School of Electronics and Computer Science;University of Southampton;Advanced Robotics Division;Italian Institute of Technology;

..............page:243-253

Robust Fault-tolerant Iterative Learning Control for Discrete Systems via Linear Repetitive Processes Theory
Jian Ding;Blazej Cichy;Krzysztof Galkowski;Eric Rogers;Hui-Zhong Yang;Key Laboratory of Advanced Process Control for Light Industry;Jiangnan University;Institute of Control and Computation Engineering;University of Zielona Gora;Department of Electronics and Computer Science;University of Southampton;

..............page:254-265

Neural Network State Learning Based Adaptive Terminal ILC for Tracking Iteration-varying Target Points
Yu Liu;Rong-Hu Chi;Zhong-Sheng Hou;School of Automation and Electronic Engineering;Qingdao University of Science and Technology;Advanced Control Systems Lab;School of Electronics and Information Engineering;Beijing Jiaotong University;

..............page:266-272

Lifted System Framework for Learning Control with Different Trial Lengths
Xue-Fang Li;Jian-Xin Xu;Department of Electrical and Computer Engineering;National University of Singapore;

..............page:273-280

Discrete-frequency Convergence of Iterative Learning Control for Linear Time-invariant systems with Higher-order Relative Degree
Xiao-E Ruan;Zhao-Zhen Li;Z.Z.Bien;School of Mathematics and Statistics;Xi an Jiaotong University;Department of Electrical Engineering;Korea Advanced Institute of Science and Technology;

..............page:281-288

Repetitive Control for TORA Benchmark:An Additive-state-decomposition-based Approach
Quan Quan;Kai-Yuan Cai;Department of Automatic Control;Beijing University of Aeronautics and Astronautics;

..............page:289-296

Nonlinear Masking and Iterative Learning Decryption for Secure Communications
Ming-Xuan Sun;College of Information Engineering;Zhejiang University of Technology;

..............page:297-306

On the Current Error Based Sampled-data Iterative Learning Control with Reduced Memory Capacity
Chiang-Ju Chien;Yu-Chung Hung;Rong-Hu Chi;Department of Electronic Engineering;Huafan University;School of Automation and Electrical Engineering;Qingdao University of Science and Technology;

..............page:307-315

Iterative Learning Control for Discrete Parabolic Distributed Parameter Systems
Xi-Sheng Dai;Sen-Ping Tian;Ya-Jun Guo;College of Electrical Engineering and Automation;Shandong University of Science and Technology;School of Electrical and Information Engineering;Guangxi University of Science and Technology;School of Automation Science and Engineering;South China University of Technology;

..............page:316-322

Distributed Adaptive Synchronization of Complex Dynamical Network with Unknown Time-varying Weights
Hui-Na Feng;Jun-Min Li;School of Mathematics and Statistics;Xidian University;

..............page:323-329

A High-order Internal Model Based Iterative Learning Control Scheme for Discrete Linear Time-varying Systems
Wei Zhou;Miao Yu;De-Qing Huang;College of Electrical Engineering;Zhejiang University;College of Engineering Jiangsu Institute of Commerce;Department of Aeronautics;Imperial College London;

..............page:330-336

Genetic Algorithm with Variable Length Chromosomes for Network Intrusion Detection
Sunil Nilkanth Pawar;Rajankumar Sadashivrao Bichkar;Jawaharlal Nehru Engineering College;G.H.Raisoni College of Engineering & Management;

..............page:337-342