229 | -- | 242 | Derong Liu 0001, Hong-Liang Li, Ding Wang 0001. Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey |
243 | -- | 253 | David H. Owens 0001, Chris T. Freeman, Bing Chu. Generalized norm optimal iterative learning control with intermediate point and sub-interval tracking |
254 | -- | 265 | Jian Ding, Blazej Cichy, Krzysztof Galkowski, Eric Rogers, Hui-zhong Yang. Robust fault-tolerant iterative learning control for discrete systems via linear repetitive processes theory |
266 | -- | 272 | Yu Liu, Ronghu Chi, Zhongsheng Hou. Neural network state learning based adaptive terminal ILC for tracking iteration-varying target points |
273 | -- | 280 | Xuefang Li, Jian-Xin Xu. Lifted system framework for learning control with different trial lengths |
281 | -- | 288 | Xiaoe Ruan, Zhao-Zhen Li, Zeungnam Zenn Bien. Discrete-frequency convergence of iterative learning control for linear time-invariant systems with higher-order relative degree |
289 | -- | 296 | Quan Quan, Kai-Yuan Cai. Repetitive control for TORA benchmark: An additive-state-decomposition-based approach |
297 | -- | 306 | Ming-xuan Sun. Nonlinear masking and iterative learning decryption for secure communications |
307 | -- | 315 | Chiang-Ju Chien, Yu-Chung Hung, Ronghu Chi. On the current error based sampled-data iterative learning control with reduced memory capacity |
316 | -- | 322 | Xisheng Dai, Senping Tian, Ya-Jun Guo. Iterative learning control for discrete parabolic distributed parameter systems |
323 | -- | 329 | Hui-Na Feng, Jun-Min Li. Distributed adaptive synchronization of complex dynamical network with unknown time-varying weights |
330 | -- | 336 | Wei Zhou, Miao Yu 0002, Deqing Huang. A high-order internal model based iterative learning control scheme for discrete linear time-varying systems |
337 | -- | 342 | Sunil Nilkanth Pawar, Rajankumar Sadashivrao Bichkar. Genetic algorithm with variable length chromosomes for network intrusion detection |