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检索条件"机构=Center of Excellence for Modeling and Control of Complex Systems"
94 条 记 录,以下是31-40 订阅
排序:
Locomotion control of a hybrid propulsion biomimetic underwater vehicle via deep reinforcement learning
Locomotion control of a hybrid propulsion biomimetic underwa...
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2021 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2021
作者: Zhang, Tiandong Wang, Rui Wang, Yu Wang, Shuo Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China
This paper presents a novel deep reinforcement learning (DRL) method to solve the locomotion control problem of the biomimetic underwater vehicle (BUV) with hybrid propulsion, in order to meet the challenge of intract... 详细信息
来源: 评论
Optimal Discrete-Time Sliding-Mode control Based on Recurrent Neural Network: A Singular Value Approach
Research Square
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Research Square 2021年
作者: Toshani, Hamid Farrokhi, Mohammad School of Electrical Engineering Iran University of Science and Technology Narmak FarjamSt. Tehran16846 Iran Center of Excellence for Modeling and Control of Complex Systems Iran University of Science and Technology Narmak Farjam St. Tehran16846 Iran
In this paper, a strategy involving the combination of optimal discrete-time sliding-mode control and recurrent neural networks is proposed for a class of uncertain discrete-time linear systems. First, a performance i... 详细信息
来源: 评论
Models of Battle Dynamics in Strategic Computer Games  16
Models of Battle Dynamics in Strategic Computer Games
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16th International Conference Management of Large-Scale System Development, MLSD 2023
作者: Laryushin, Ivan Dmitrievich Pashin, Dmitrii Sergeevich Koltochenko, Yaroslav Alekseevich Ereshko, Felix Ivanovich Gaponov-Grekhov Institute of Applied Physics Ras Plasma Physics Department Nizhny Novgorod Russia State University of Nizhny Novgorod Faculty of Physics National Research Lobachevsky Nizhny Novgorod Russia Moscow Institute of Physics and Technology Department of Mathematical Modeling of Complex Systems and Optimization Moscow Russia Federal Research Center 'Computer Science and Control' of the Ras Department of Information and Computing Systems Moscow Russia
A set of new models that describe the dynamics of battles in strategic computer games is presented. These models not only have descriptive functions, but also allow solving problems of optimizing army control under gi... 详细信息
来源: 评论
Real-Time Marker Localization Learning for GelStereo Tactile Sensing
Real-Time Marker Localization Learning for GelStereo Tactile...
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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022
作者: Liu, Shujuan Cui, Shaowei Zhang, Chaofan Cai, Yinghao Wang, Shuo University of Science and Technology Beijing China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China Chinese Academy of Sciences Institute of Automation Beijing100190 China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China
Visuotactile sensing technology is becoming more popular in tactile sensing, but the effectiveness of the existing marker detection/localization methods remains to be further explored. Instead of contour-based blob de... 详细信息
来源: 评论
Color-sensitive person re-identification  28
Color-sensitive person re-identification
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28th International Joint Conference on Artificial Intelligence, IJCAI 2019
作者: Wang, Guan'an Yang, Yang Y. Cheng, Jian Wang, Jinqiao Hou, Zengguang State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Center for Excellence in Brain Science and Intelligence Technology Beijing China
Recent deep Re-ID models mainly focus on learning high-level semantic features, while failing to explicitly explore color information which is one of the most important cues for person Re-ID model. In this paper, we p...
来源: 评论
"Why not looking backward?" a robust two-step method to automatically terminate Bayesian optimization  23
"Why not looking backward?" a robust two-step method to auto...
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Proceedings of the 37th International Conference on Neural Information Processing systems
作者: Shuang Li Ke Li Wei Li Control and Simulation Center Harbin Institute of Technology China and National Key Laboratory of Modeling and Simulation for Complex Systems China Department of Computer Science University of Exeter Exeter UK
Bayesian Optimization (BO) is a powerful method for tackling expensive blackbox optimization problems. As a sequential model-based optimization strategy, BO iteratively explores promising solutions until a predetermin...
来源: 评论
Overcoming catastrophic forgetting with self-adaptive identifiers  25th
Overcoming catastrophic forgetting with self-adaptive identi...
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25th International Conference on Neural Information Processing, ICONIP 2018
作者: Xiong, Fangzhou Liu, Zhiyong Yang, Xu The State Key Lab of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing100190 China Beijing100049 China Centre for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China Cloud Computing Center Chinese Academy of Sciences DongGuanGuangDong523808 China
Catastrophic forgetting is a tough issue when the agent faces the sequential multi-task learning scenario without storing previous task information. It gradually becomes an obstacle to achieve artificial general intel... 详细信息
来源: 评论
Optical detection using multi-wavelength modulation
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Key Engineering Materials 2008年 381-382卷 325-328页
作者: Ng, B.P. Luen, S.H. Zhang, Y. Soh, Y.C. Singapore Institute of Manufacturing Technology 71 Nanyang Avenue Singapore 638075 Singapore Center for Modeling and Control of Complex Systems School of Electrical and Electronics Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore
In this paper, we proposed a method to attain a high sensitivity of weak optical signal detection by using the multi-wavelength modulation principle. In this method, the optical phase carrying the measurand is obtaine... 详细信息
来源: 评论
An improved active homodyne detector
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Key Engineering Materials 2008年 381-382卷 329-332页
作者: Seek, H.L. Zhang, Y. Soh, Y.C. Singapore Institute of Manufacturing Technology 71 Nanyang Avenue Singapore 638075 Singapore Center for Modeling and Control of Complex Systems School of Electrical and Electronics Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore
This paper proposes an improved active homodyne detection technique to compensate for the drift in homodyne measurement. The technique is implemented on a fiber based Michelson interferometer where a computer controll... 详细信息
来源: 评论
Hydrodynamic modeling and Parameter Identification of a Bionic Underwater Vehicle:RobDact
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Cyborg and Bionic systems 2022年 第1期2022卷 164-176页
作者: Qiyuan Cao Rui Wang Tiandong Zhang Yu Wang Shuo Wang State Key Laboratory of Management and Control for Complex Systems Institute of A utomationChinese Academy of SciencesBeijingChina School of Artific ial Itelligence University of Chinese Academy of Sciences BeijingChina Center for Excellence in Brain Science and Itelligence Technology Chinese Academy of SciencesShanghaiChina
In this paper,the hydrodynamic modeling and parameter identifcation of the RobDact,a bionic underwater vehide inspired byDactylopteridae,are carried out based on computational fluid dynamics(CFD)and force measurement ... 详细信息
来源: 评论