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检索条件"机构=Key Laboratory for Intelligent Control and Decision of Complex System"
1368 条 记 录,以下是1271-1280 订阅
排序:
Study on Displacement control of the Pneumatic Muscle Actuator Basing on Model-Free Adaptive control with Nonlinear Feedback
Study on Displacement Control of the Pneumatic Muscle Actuat...
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International Conference on Measuring Technology and Mechatronics Automation, ICMTMA
作者: Liu Yu Wang Tao Zhao Tong Fan Wei Liu Hao School of Automation Complicated System of Intelligent Control and Decision Key Laboratory of Education Ministry Beijing Institute of Technology Beijing China
Since the Pneumatic Muscle Actuator (PMA) has the characteristic of strong nonlinear and time lags, it is difficult to establish a precise mathematical mode. Model-Free Adaptive control (MFAC) is an advanced control a... 详细信息
来源: 评论
Electronic compass calibration based on Adaptive Differential Evolution Algorithm-Fourier Neural Network
Electronic compass calibration based on Adaptive Differentia...
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作者: Gong, Kun 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 100081 China
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
来源: 评论
Adaptive sliding mode control of electromechanical actuator with improved parameter estimation
Adaptive sliding mode control of electromechanical actuator ...
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Asian control Conference
作者: Hao Li Yongqiang Bai Zhong Su School of Automation Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China
An adaptive sliding mode control scheme for electromechanical actuator has been presented. The adaptive control strategy can estimate the uncertain parameters and adaptively compensate the modeled dynamical uncertaint... 详细信息
来源: 评论
Decentralized Loading Coordinations for Large-population Plug-in Electric Vehicles and a few controllable Bulk Loads
Decentralized Loading Coordinations for Large-population Plu...
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IEEE Conference on decision and control
作者: Xiaokun Yin Zhongjing Ma Lei Dong School of Automation Beijing Institute of Technology (BIT) Beijing China School of Automation BIT and the Key Laboratory of Complex System Intelligent Control and Decision (BIT) Ministry of Education Beijing China School of Automation BIT
This paper studies the loading coordinations for large-population autonomous individual (plug-in) electric vehicles (EVs) and a few controllable bulk loads, e.g. EV fleets, pumped storage hydro units, and so on. Due t... 详细信息
来源: 评论
Path planning of multiple UAVs low-altitude penetration based on improved Multi-agent Coevolutionary Algorithm
Path planning of multiple UAVs low-altitude penetration base...
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作者: Peng, Zhi-Hong Sun, Lin Chen, Jie Wu, Jin-Ping 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
In order to solve the multi-UAV cooperative path planning problem of low-altitude penetration, the paper proposes an improved Multi-agent Coevolutionary Algorithm (IMACEA), which introduces co-evolution mechanism base... 详细信息
来源: 评论
Differential evolution with adaptive population size combining lifetime and extinction mechanisms
Differential evolution with adaptive population size combini...
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Asian control Conference
作者: Chunmei Zhang Jie Chen Bin Xin Tao Cai Chen Chen School of Electronic Information Engineering Taiyuan University of Science and Technology Shanxi China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China School of Automation Beijing Institute of Technology Beijing China
Differential Evolution (DE) is a simple and efficient numerical optimization method. Most DE variants in the literature adopt fixed population size. This paper incorporates into DE the mechanisms of lifetime and extin... 详细信息
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Optimal Tuning of Plant-Friendly PID controllers
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Journal of Beijing Institute of Technology 2010年 第3期19卷 331-336页
作者: 史大威 王军政 马立玲 Key Laboratory of Complex System Intelligent Control and Decision School of AutomationBeijing Institute of Technology
A plant-friendly proportional-integral-derivative (PID) controller optimization framework is proposed to make tradeoffs among set-point response,controller output variations and *** objective function is chosen as t... 详细信息
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Real-time moving object detection and tracking based on improved mean shift
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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 823-828页
作者: Lei, Ying-Hui Zhang, Juan Yang, Wen-Jia Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education School of Automation Beijing Institute of Technology Beijing 100081 China
An improved real-time target detection and tracking method was proposed based on moving foreground object in the servo monitoring system. This method extracts moving object based on adaptive mixture of Gaussian when t... 详细信息
来源: 评论
Multi-agent based simulation for underground safety accidents
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Journal of Convergence Information Technology 2011年 第11期6卷 309-316页
作者: Cai, Linqin Pan, Yuyou Cen, Ming Yu, Jimin Key Laboratory of Network control and Intelligent Instrument Chongqing University of Posts and Telecommunications Ministry of Education Chongqing 400065 China Research Center on Complex System Analysis and Control Chongqing University of Posts and Telecommunications Chongqing 400065 China
Traditional experiments with human subjects for underground safety accidents are almost impossible because of safety and ethical issues. Based on Multi-agent technology, virtual mine architecture was presented to simu... 详细信息
来源: 评论
Improved differential evolution-based particle filter algorithm for target tracking
Improved differential evolution-based particle filter algori...
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作者: Wang, Yanan Chen, Jie Gan, Minggang School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex Systems Intelligent Control and Decision Ministry of Education BIT Beijing 100081 China
This paper presents an improved target tracking algorithm based on the differential evolution particle filter (DEPF) in order to solve the problem of particle degeneracy. In this method, the mutation, crossover and se... 详细信息
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