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检索条件"机构=Key Lab for Image Processing and Intelligent Control"
3832 条 记 录,以下是351-360 订阅
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Consensus of multiagent with interaction distortions via echo control
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INFORMATION SCIENCES 2022年 614卷 518-533页
作者: Wang, Xiaotian Su, Housheng Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Image Proc & Intelligent Control Key Lab Educ Minist China Wuhan 430074 Peoples R China Dalian Univ Technol Key Lab Intelligent Control & Optimizat Ind Equipm Minist Educ Dalian 116024 Peoples R China
This paper studies the discrete-time multiagent consensus problem with kinds of diverse interaction distortions which are related to the states of agents, and a novel dual switching control strategy is proposed, named... 详细信息
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Small universal spiking neural p systems with exhaustive use of rules
Small universal spiking neural p systems with exhaustive use...
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作者: Zhang, Xingyi Jiang, Yun Pan, Linqiang Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China
We consider the problem of looking for small universal spiking neural P systems with exhaustive use of rules, which was formulated as an open problem by Andrei PǍun and Gheorghe PǍun in a survey paper. Here, spiking... 详细信息
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Impact of Heterogeneity on Opinion Dynamics: Heterogeneous Interaction Model
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COMPLEXITY 2017年 第1期000卷 10-10页
作者: Chen, Xi Wu, Zhan Wang, Hongwei Li, Wei Huazhong Univ Sci & Technol Sch Automat Key Lab Minist Educ Image Proc & Intelligent Control Wuhan 430074 Peoples R China
Considering the impact that physical distance and other properties have on the change of opinions, this paper introduces an intensionmodel of theHegselmann-Krause (KH) model-heterogeneous interaction (HI) model. Based...
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General Second-Order Consensus of Discrete-Time Multiagent Systems via Q-Learning Method
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2022年 第3期52卷 1417-1425页
作者: Liu, Yifan Su, Housheng Huazhong Univ Sci & Technol Educ Minist China Sch Artificial Intelligence & Automat Image Proc & Intelligent Control Key Lab Wuhan 430074 Peoples R China
A consensus control issue is studied for general second-order multiagent systems via Q-learning method in this article. A novel second-order type with discrete-time dynamics is investigated to solve the corresponding ... 详细信息
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Odor source localization algorithms on mobile robots: A review and future outlook
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ROBOTICS AND AUTONOMOUS SYSTEMS 2019年 112卷 123-136页
作者: Chen, Xin-Xing Huang, Jian Huazhong Univ Sci & Technol Key Lab Minist Educ Image Proc & Intelligent Control Sch Automat Wuhan Hubei Peoples R China
When applied in some harsh environments (e.g. in poisonous atmosphere or underwater), odor source localization robots are able to perform better than animals without being hurt. During the past three decades, robotic ... 详细信息
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P systems with 2D picture grammars
P systems with 2D picture grammars
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6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011
作者: Song, Tao Zeng, Xiangxiang Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China
In formal language theory of two-dimensions, 2D picture grammars are powerful tools to generate picture languages. In this work, we incorporate the idea of membrane systems (also called P systems) into 2D picture gram... 详细信息
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Extended state observer based non-iteration predicted entry guidance
Extended state observer based non-iteration predicted entry ...
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2012 International Conference on Modelling, Identification and control, ICMIC 2012
作者: Chang, Songtao Su, Mao Zhang, Da Wang, Yongji Department of Control Science and Engineering Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China
It is difficult to guide the entry vehicle to prescribed area due to the disperse of environment and kinematics. Through predicted residual range at the current state based on drag acceleration, we developed a predict... 详细信息
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On-line Ascent Phase Trajectory Optimal Guidance Algorithm based on Pseudo-spectral Method and Sensitivity Updates
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JOURNAL OF NAVIGATION 2015年 第6期68卷 1056-1074页
作者: Zhang, Da Liu, Lei Wang, Yongji Huazhong Univ Sci & Technol Key Lab Minist Educ Image Proc & Intelligent Control Sch Automat Wuhan 430074 Peoples R China
The objective of this paper is to investigate an online method to generate an optimal ascent trajectory for air-breathing hypersonic vehicles. A direct method called the Pseudo-spectral method shows promise for real-t... 详细信息
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A novel small dim infrared target detecting method based on grayscale merging and connected components analysis
A novel small dim infrared target detecting method based on ...
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2012 International Conference on Modelling, Identification and control, ICMIC 2012
作者: Zhang, Ying Wang, Min Niu, Shaoqing Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China
Target detecting algorithm in infrared image is drawing extensive attention both at home and abroad, expecially when the infrared images own complex backgrounds and low resolution. How to make sure of the accuracy of ... 详细信息
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A comparative study of radial basis function neural networks in dynamic clustering algorithm
A comparative study of radial basis function neural networks...
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MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition
作者: Zhou, Peng Li, Dehua Wu, Hong Zeng, Jun Chen, Feng State Key Lab. for Image Processing and Intelligent Control Institute for Pattern Recognition and Intelligence Huazhong University of Science and Technology Wuhan 430074 China
This paper developed two learning procedure, respectively, based on the orthogonal least squares (OLS) method and the "Innovation- Contribution" criterion (ICc) proposed newly. The orthogonal use of the step... 详细信息
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