已选(0)清除
条数/页: 排序方式: |
| Recurrent neural network inspired finite-time control design 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1527-1529 作者: Jianan Liu; Shihua Li; Rongjie Liu Adobe PDF(1176Kb)  |  收藏  |  浏览/下载:5/3  |  提交时间:2024/05/22 |
| Fixed-Time Antidisturbance Consensus Tracking for Nonlinear Multiagent Systems with Matching and Mismatching Disturbances 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1410-1423 作者: Xiangmin Tan; Chunyan Hu; Guanzhen Cao; Qinglai Wei; Wei Li; Bo Han Adobe PDF(3106Kb)  |  收藏  |  浏览/下载:5/2  |  提交时间:2024/05/22 Antidisturbance backstepping consensus tracking fixed-time stability multiagent system (MASs) strict feedback affine nonlinear systems |
| Stabilization Controller of An Extended Chained Nonholonomic System With Disturbance: An FAS Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1262-1273 作者: Zhongcai Zhang; Guangren Duan Adobe PDF(2299Kb)  |  收藏  |  浏览/下载:21/6  |  提交时间:2024/04/10 Disturbance observer exponential stabilization finite-time stabilization fully actuated systems nonholonomic systems |
| Nested Saturated Control of Uncertain Complex Cascade Systems Using Mixed Saturation Levels 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1163-1174 作者: Meng Li; Zhigang Zeng Adobe PDF(1184Kb)  |  收藏  |  浏览/下载:22/7  |  提交时间:2024/04/10 Differentiable saturation functions global stabilization analysis mixed saturation levels nested saturated control uncertain complex cascade systems |
| A Hybrid Controller for Musculoskeletal Robots Targeting Lifting Tasks in Industrial Metaverse 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 12 作者: Qin, Shijie; Li, Houcheng; Cheng, Long 收藏  |  浏览/下载:42/0  |  提交时间:2024/03/27 Adaptive dynamic programming (ADP) brain-inspired method muscle synergy musculoskeletal system reinforcement learning (RL) tracking control |
| Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995 作者: Tao Wang; Qiming Chen; Xun Lang; Lei Xie; Peng Li; Hongye Su Adobe PDF(3095Kb)  |  收藏  |  浏览/下载:41/14  |  提交时间:2024/03/18 Convolutional neural networks (CNNs) deep learning image processing oscillation detection process industries |
| Adaptive Sensor-Fault Tolerant Control of Unmanned Underwater Vehicles With Input Saturation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 907-918 作者: Xuerao Wang; Qingling Wang; Yanxu Su; Yuncheng Ouyang; Changyin Sun Adobe PDF(3677Kb)  |  收藏  |  浏览/下载:28/12  |  提交时间:2024/03/18 Asymptotic stability fault-tolerant control input saturation robust integral of the sign of error unmanned underwater vehicle |
| Adaptive Optimal Output Regulation of Interconnected Singularly Perturbed Systems With Application to Power Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 595-607 作者: Jianguo Zhao; Chunyu Yang; Weinan Gao; Linna Zhou; Xiaomin Liu Adobe PDF(2409Kb)  |  收藏  |  浏览/下载:46/22  |  提交时间:2024/02/19 Adaptive optimal control decentralized control output regulation reinforcement learning (RL) singularly perturbed systems (SPSs) |
| Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 131-140 作者: Zhongyang Wang; Youqing Wang; Zdzisław Kowalczuk Adobe PDF(1538Kb)  |  收藏  |  浏览/下载:150/74  |  提交时间:2024/01/02 Adaptive dynamic programming (ADP) internal model principle (IMP) output feedback problem policy iteration (PI) value iteration (VI) |
| Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36 作者: Ding Wang; Ning Gao; Derong Liu; Jinna Li; Frank L. Lewis Adobe PDF(1945Kb)  |  收藏  |  浏览/下载:257/184  |  提交时间:2024/01/02 Adaptive dynamic programming (ADP) advanced control complex environment data-driven control event-triggered design intelligent control neural networks nonlinear systems optimal control reinforcement learning (RL) |