Ausgabe 3/2015
Special Issue: Special Issue on Latest Advances in ILC/RLC Theory and Applications
Inhalt (13 Artikel)
Survey Paper
Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey
De-Rong Liu, Hong-Liang Li, Ding Wang
Regular Paper
Generalized norm optimal iterative learning control with intermediate point and sub-interval tracking
David H. Owens, Chris T. Freeman, Bing Chu
Regular Paper
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
Regular Paper
Neural network state learning based adaptive terminal ILC for tracking iteration-varying target points
Yu Liu, Rong-Hu Chi, Zhong-Sheng Hou
Brief Paper
Lifted system framework for learning control with different trial lengths
Xue-Fang Li, Jian-Xin Xu
Regular Paper
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
Regular Paper
Repetitive control for TORA benchmark: An additive-state-decomposition-based approach
Quan Quan, Kai-Yuan Cai
Regular Paper
Nonlinear masking and iterative learning decryption for secure communications
Ming-Xuan Sun
Regular Paper
On the current error based sampled-data iterative learning control with reduced memory capacity
Chiang-Ju Chien, Yu-Chung Hung, Rong-Hu Chi
Brief Paper
Iterative learning control for discrete parabolic distributed parameter systems
Xi-Sheng Dai, Sen-Ping Tian, Ya-Jun Guo
Regular Paper
Distributed adaptive synchronization of complex dynamical network with unknown time-varying weights
Hui-Na Feng, Jun-Min Li
Regular Paper
A high-order internal model based iterative learning control scheme for discrete linear time-varying systems
Wei Zhou, Miao Yu, De-Qing Huang
Regular Paper
Genetic algorithm with variable length chromosomes for network intrusion detection
Sunil Nilkanth Pawar, Rajankumar Sadashivrao Bichkar