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检索条件"机构=State Key Laboratory of Complex System Intelligent Control and Decision"
667 条 记 录,以下是561-570 订阅
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3D multi-constraint route planning for UAV low-altitude penetration based on multi-agent genetic algorithm
3D multi-constraint route planning for UAV low-altitude pene...
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作者: Wu, Jin-Ping Peng, Zhi-Hong Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education China
Low-altitude penetration is one of the most important military applications of Unmanned Aerial Vehicles (UAVs). 3D route planning, which is a complex multi-objective optimization problem with multiple constraints, is ... 详细信息
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The new field power device based on super capacitor and it's application
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Binggong Xuebao/Acta Armamentarii 2012年 第SUPPL2期33卷 417-422页
作者: Bai, Yong-Qiang Jin, Tian-Xu Wang, Hai-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 Harbin Jurong New Power Co. Ltd. Harbin 150078 Heilongjiang China
Based on special demand of field power for artillery electric drive system and analysis of the existing power system, a new design of hybrid power device with super capacitor is proposed to replace the traditional bat... 详细信息
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Adaptive control of 6-DOF parallel manipulator
Adaptive control of 6-DOF parallel manipulator
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作者: Jin, Qinglong Chen, Wenjie 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
This paper presents an adaptive controller equipped with disturbance rejection capability for a 6 degrees of freedom (6-DOF) parallel manipulator. The control scheme is proposed given that the 6-DOF parallel manipulat... 详细信息
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Virtual realization of dynamic path planning in target-creator based on Vega/HLA
Virtual realization of dynamic path planning in target-creat...
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作者: Zhu, Wenbin Zhang, Juan Yu, Haixin Peng, Zhihong 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 importance of testing for multi-targets detecting and tracking algorithms accelerates the current technologies of target-creator system which provides multiple and various targets. Traditional target-creator syste... 详细信息
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Adaptive control of air delivery system for PEM fuel cell using backstepping
Adaptive control of air delivery system for PEM fuel cell us...
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作者: Li, Peng Chen, Jie Cai, Tao Zhang, Bo School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China
The proton exchange membrane (PEM) fuel cells have attracted significant attention due to high efficiency and low pollution. The performance and lifetime of the fuel cell power system depend on the heat and water mana... 详细信息
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Multi-group consensus via pinning control with non-linear heterogeneous agents
Multi-group consensus via pinning control with non-linear he...
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作者: Sun, Wei Bai, Yongqiang Jia, Rui Xiong, Rui Chen, Jie School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China
The agents connected by networks are capable to reach a prescribed state if only a small fraction of them are controlled with feedback information. The present work tries to stabilize groups of non-linear agents in a ...
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Recursive blind LMS parameter identification for single-input multiple-output system
Recursive blind LMS parameter identification for single-inpu...
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作者: Chen, Jie Ma, Tao Chen, Wenjie Zhang, Bo School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China
A blind least-mean-squares (BLMS) algorithm is proposed for the parameter identification of single-input multiple-output (SIMO) systems. Without requiring knowledge of a reference signal, it is proved that the present... 详细信息
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A Mean Square Average Consensus Protocol for Discrete-Time Double-Integrator Multi-Agent systems with Communication Noises
A Mean Square Average Consensus Protocol for Discrete-Time D...
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第七届中国多智能体系统与控制会议(MASC2011)
作者: Long Cheng Zeng-Guang Hou Yunpeng Wang Min Tan Zhiqiang Cao State Key Laboratory of Intelligent Control and Management of Complex System Institute ofAutomation State Key Laboratory of Intelligent Control and Management of Complex System Institute of Automatio
An average consensus protocol is proposed for discrete-time double-integrator multi-agent systems with communication noises under fixed topologies. The proposed consensus protocol is composed of two parts: the agent&... 详细信息
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Unsupervised robust adaptive filtering against impulsive noise
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Journal of systems Engineering and Electronics 2012年 第1期000卷
作者: Tao Ma Jie Chen Wenjie Chen and Zhihong Peng School of Automation Beijing Institute of Technology Beijing 100081 P. R. China Key Laboratory of Complex System Intelligent Control and Decision(Ministry of Education) Beijing Institute of Technology Beijing 100081 P. R. China
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Electronic compass calibration based on Adaptive Differential Evolution Algorithm-Fourier Neural Network
Electronic compass calibration based on Adaptive Differentia...
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Chinese control Conference (CCC)
作者: Kun Gong Fang Deng Jie Chen School of Automation Beijing Institute of Technology Beijing Beijing CN Ministry of Education Key Laboratory of Complex System Intelligent Control and Decision Beijing Beijing CN Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Beijing CN
Based on the comparison of several common methods of electronic compass error compensation, this paper presents a new error compensation method based on Adaptive Differential Evolution-Fourier Neural Networks (ADE-FNN... 详细信息
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