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检索条件"机构=School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision"
792 条 记 录,以下是741-750 订阅
An algorithm based on ODLLTSA and SVM classier for door plate number recognition
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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) 2011年 第SUPPL. 1期42卷 789-793页
作者: Ma, Li-Ling Ji, Li-Jun Wang, Jun-Zheng School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education Beijing Institute of Technology Beijing 100081 China
A new method is proposed, through combining the algorithm of orthogonal discriminant linear local tangent space alignment (ODLLTSA) and the support vector machine (SVM), to improve the accuracy of recognizing door pla... 详细信息
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Optical encoder fault diagnosis based on characteristics of data and fuzzy logic
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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) 2011年 第SUPPL. 1期42卷 876-882页
作者: Deng, Fang Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China
The fault diagnosis for a class of widely used digital parallel output optical encoder were focused. After definition of the optical encoder, the main features of the optical encoder's output data were analyzed. A... 详细信息
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An adaptive hybrid optimizer based on particle swarm and differential evolution for global optimization
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Science China(Information Sciences) 2010年 第5期53卷 980-989页
作者: XIN Bin 1,2 ? , CHEN Jie 1,2* , PENG ZhiHong 1,2 & PAN Feng 1,2 1 school of automation, Beijing Institute of Technology, Beijing 100081, China 2 key laboratory of complex system intelligent control and decision, Ministry of Education, Beijing 100081, China School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China
This paper presents extensive experiments on a hybrid optimization algorithm (DEPSO) we recently developed by combining the advantages of two powerful population-based metaheuristics—differential evolution (DE) and p... 详细信息
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Modeling and analyzing transportation systems based on ACP approach
Modeling and analyzing transportation systems based on ACP a...
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International Conference on intelligent Transportation
作者: Fenghua Zhu Fei-Yue Wang Runmei Li Yisheng Lv Songhang Chen State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences (CAS) Beijing China School of Electronics and Information Engineering Beijing Jiaotong University BJTU Beijing China
The ACP (Artificial societies, Computational experiments and Parallel execution) approach has provided us an opportunity to look into new methods in addressing transportation problems from new perspectives. In this pa... 详细信息
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Unsupervised Learning of Gaussian Mixture Model with Application to Image Segmentation
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电子学报(英文版) 2010年 第3期19卷 451-456页
作者: LI Bo LIU Wenju DOU Lihua School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China
Density estimation via Gaussian mixture modeling has been successfully applied to image segmentation, speech processing and other fields relevant to clustering analysis and Probability density function (PDF) modeling.... 详细信息
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Identification of interval models for a class of uncertain systems via linear programming
Identification of interval models for a class of uncertain s...
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作者: Zhang, Guozhu Chen, Jie Li, Zhiping Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology School of Automation Beijing 100081 China
The interval models of uncertain plants are frequently used in the field of robust control. In this paper, a novel interval model identification method based on linear programming is proposed. By certain prepossessing... 详细信息
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A theorem for relationship between the MA process and its inversion for ARMAX identification
A theorem for relationship between the MA process and its in...
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作者: Xin, Bin Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China
The paper presents a theorem to show the relationship between the parameters of the Moving Average (MA) process and those of its inversed process. The theorem can be used for the parameter identification of the MA pro... 详细信息
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Adaptive robust dynamic surface control of DC torque motors with true parameter estimates
Adaptive robust dynamic surface control of DC torque motors ...
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作者: Li, Zhiping Chen, Jie Gan, Minggang Fang, Hao Zhang, Guozhu Beijing Institute of Technology and Education Ministry Key Laboratory of Complex Systems Intelligent Control and Decision School of Automation Beijing China
This paper presents an adaptive robust dynamic surface control (ARDSC) algorithm for the position control of DC torque motors which are modeled as third-order nonlinear systems with parametric and nonlinear uncertaint... 详细信息
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A multi-robot target tracking algorithm with centroidal Voronoi tessellation and consensus strategy
A multi-robot target tracking algorithm with centroidal Voro...
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作者: Sun, Wei Dou, Lihua Chen, Jie Fang, Hao School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China
A novel algorithm to solve the target tracking and formation control problem in multi-agent systems is proposed in the present work, which combines centroidal Voronoi tessellations (CVT) with consensus strategy. The a... 详细信息
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Decentralized control for Arbitrarily Interconnected systems over Lossy Network
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自动化学报 2010年 第9期36卷 1321-1327页
作者: LI Hui School of Automation Beijing Institute of TechnologyBeijing 100081P.R.China Key Laboratory of Complex System Intelligent Control and Decision Ministry of EducationBeijing 100081P.R.China
Abstract This paper deals with the control of arbitrarily topological interconnected systems where information communicated between subsystems may be lost due to unreliable links. First, the stochastic variable that i... 详细信息
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