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Adaptive Critic Design-based Robust Cooperative Tracking Control for Nonlinear Multi-agent Systems with Disturbances 期刊论文
IEEE Access, 2021, 卷号: 9, 页码: 34383-34394
Authors:  Qu QX(屈秋霞);  Sun LL(孙亮亮);  Li ZG(李智刚)
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Adaptive dynamic programming  leader-following consensus problem  multi-agent systems  neural network  
面向复杂地形海洋勘探的Multi-AUV编队协同控制策略 期刊论文
舰船科学技术, 2021, 卷号: 43, 期号: 3, 页码: 93-100
Authors:  姜成林;  徐会希
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多AUV编队  协同控制策略  复杂地形  海洋勘探  
Fuzzy Adaptive Practical Fixed-Time Consensus for Second-Order Nonlinear Multiagent Systems Under Actuator Faults 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 3, 页码: 1150-1162
Authors:  Wu YM(武炎明);  Wang ZS(王占山)
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Fault-tolerant control (FTC)  fuzzy-logic systems (FLSs)  practical fixed-time control  second-order multiagent systems (MASs)  
Heterogeneous oceanographic exploration system based on USV and AUV:a survey of developments and challenges 期刊论文
中国科学院大学学报, 2021, 卷号: 38, 期号: 2, 页码: 145-159
Authors:  Xu HX(徐会希);  Jiang CL(姜成林)
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autonomous underwater vehicle (AUV)  unmanned surface vehicle (USV)  synergy  oceanographic exploration system  heterogeneous platform  
路网约束下异构机器人系统路径规划方法 期刊论文
自动化学报, 2021, 页码: 1-20
Authors:  陈梦清;  陈洋;  陈志环;  赵新刚
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异构机器人系统  路径规划  路网约束  两步法  
面向深海资源探测的多AUV编队控制研究 学位论文
专业学位硕士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  姜成林
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多AUV编队  海洋资源探测  编队控制  编队策略  
面向深海资源探测的多AUV任务规划研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  赵旭浩
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多AUV集群  任务规划  多样性任务  离散粒子群算法  局部路径规划  
无权访问的条目 期刊论文
Authors:  Dai LH(戴立红);  Liu JG(刘金国);  Gao Y(高扬)
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Collaborative Pursuit-Evasion Strategy of UAV/UGV Heterogeneous System in Complex Three-Dimensional Polygonal Environment 期刊论文
Complexity, 2020, 卷号: 2020, 页码: 1-13
Authors:  Liang X(梁宵);  Wang, Honglun;  Luo HT(骆海涛)
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Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 5009-5021
Authors:  Lyu, Zhiyu;  Han, Min;  Li DC(李德才);  Lyu, Zhiyu;  Han, Min;  Li DC(李德才)
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Uncertain type noise image  denoising  nonsubsampled shearlet transform (NSST)  spatial feature  justi able granularity