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Designing Proportional-Integral Consensus Protocols for Second-Order Multi-Agent Systems Using Delayed and Memorized State Information 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 878-892
作者:  Honghai Wang;  Qing-Long Han
Adobe PDF(2068Kb)  |  收藏  |  浏览/下载：19/4  |  提交时间：2024/03/18
Consensus protocol  Hurwitz stability  multi-agent systems  quasi-polynomials  time delay  
A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1292-1294
作者:  Kaiyuan Chen;  Runqi Chai;  Runda Zhang;  Zhida Xing;  Yuanqing Xia;  Guoping Liu
Adobe PDF(854Kb)  |  收藏  |  浏览/下载：22/7  |  提交时间：2024/04/10
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：237/179  |  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)  
A Comprehensive Overview of CFN From a Commonsense Perspective 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 239-256
作者:  Ru Li;  Yunxiao Zhao;  Zhiqiang Wang;  Xuefeng Su;  Shaoru Guo;  Yong Guan;  Xiaoqi Han;  Hongyan Zhao
Adobe PDF(2392Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Chinese FrameNet (CFN), commonsense, scenario commonsense, frame, knowledge  
Distributed formation control for a multi-robotic fish system with model-based event-triggered communication mechanism 期刊论文
IEEE Transactions on Industrial Electronics, 2023, 卷号: 70, 期号: 11, 页码: 11433-11442
作者:  Dai, Shijie(戴时捷);  Zhengxing Wu;  Pengfei Zhang;  Min Tan;  Junzhi Yu
Adobe PDF(1210Kb)  |  收藏  |  浏览/下载：138/51  |  提交时间：2023/06/15
A Coverage Optimization Algorithm for Underwater Acoustic Sensor Networks based on Dijkstra Method 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1769-1771
作者:  Meiqin Tang;  Jiawen Sheng;  Shaoyan Sun
Adobe PDF(413Kb)  |  收藏  |  浏览/下载：53/19  |  提交时间：2023/07/20
How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者:  Hongyi Lin;  Yang Liu;  Shen Li;  Xiaobo Qu
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载：97/59  |  提交时间：2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
A Chaotic Local Search-Based Particle Swarm Optimizer for Large-Scale Complex Wind Farm Layout Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1168-1180
作者:  Zhenyu Lei;  Shangce Gao;  Zhiming Zhang;  Haichuan Yang;  Haotian Li
Adobe PDF(4152Kb)  |  收藏  |  浏览/下载：132/55  |  提交时间：2023/04/26
Chaotic local search (CLS)  evolutionary computation  genetic learning  particle swarm optimization (PSO)  wake effect  wind farm layout optimization (WFLO)  
A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1834-1844
作者:  Yanlu Gong;  Junhai Zhou;  Quanwang Wu;  MengChu Zhou;  Junhao Wen
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：74/39  |  提交时间：2023/08/10
Bi-objective optimization  feature selection (FS)  genetic algorithm  high-dimensional data  length-adaptive  
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 42-66
作者:  Uichin Lee;  Gyuwon Jung;  Eun-Yeol Ma;  Jin San Kim;  Heepyung Kim;  Jumabek Alikhanov;  Youngtae Noh;  Heeyoung Kim
Adobe PDF(2887Kb)  |  收藏  |  浏览/下载：471/334  |  提交时间：2023/01/03
Causal inference  data-driven analytics framework  digital therapeutics (DTx)  mobile and wearable data  technical and behavioral engagement