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检索条件"机构=Key Laboratory for Intelligent Control&Decision of Complex Systems"
577 条 记 录,以下是181-190 订阅
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control system for maxillofacial surgery robot: Master-slave, motion control and safety design
Control system for maxillofacial surgery robot: Master-slave...
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6th International Conference on complex Medical Engineering, CME 2012
作者: Liu, Tian-Bo Duan, Xing-Guang Huang, Qiang Zhao, Hong-Hua Guo, Qing-Bo Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mechatronical Engineering Beijing Institute of Technology 5 Nandajie Zhongguancun Haidian Beijing 100081 China China
As the complex anatomical structure of the maxillofacial region, operation in this area is of high hazard and difficult to implement. Thus, a multi-arm medical robot assisting maxillofacial surgery, which can improve ... 详细信息
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Decentralized flocking of multi-robot systems with connectivity maintenance
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Kongzhi Lilun Yu Yingyong/control Theory and Applications 2014年 第10期31卷 1393-1403页
作者: Mao, Yu-Tian Chen, Jie Fang, Hao Dou, Li-Hua Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China
Connectivity maintenance of flocking is vital for stability and fast state convergence of the entire multirobot system. To this end, the problem of flocking of multiple nonholonomic wheeled mobile robots with connecti... 详细信息
来源: 评论
Event-triggered High-gain Observer Design for Nonlinear systems
Event-triggered High-gain Observer Design for Nonlinear Syst...
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第35届中国控制会议
作者: Yuan Huang Junzheng Wang Dawei Shi State Key Laboratory of Intelligent Control and Decision of Complex Systems
In this work,an event-triggered high gain observer(ET-HGO) design is considered for a continuous-time nonlinear system combined with disturbance and *** the event-trigger scheme,the performance of the ET-HGO depends... 详细信息
来源: 评论
Analysis of LoRa for Electronic Shelf Labels Based on Distributed Machine Learning  42
Analysis of LoRa for Electronic Shelf Labels Based on Distri...
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42nd Chinese control Conference, CCC 2023
作者: Khan, Malak Abid Ali Ma, Hongbin Jin, Ying Ma, Jingxiang Rehman, Zia Ur Rahman, Mizanur School of Automation Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China
Deforestation is the primary source of global warming;traditional shelf labels use paper to display the price of the products, and human forces play a pivotal role in updating the tags where the pandemic has strictly ... 详细信息
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Distributed formation stabilization for mobile agents using virtual tensegrity structures
Distributed formation stabilization for mobile agents using ...
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第三十四届中国控制会议
作者: YANG Qingkai CAO Ming FANG Hao CHEN Jie HUANG Jie School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Faculty of Mathematics and Natural Sciences ITM University of Groningen
This paper investigates the distributed formation control problem for a group of mobile Euler-Lagrange agents to achieve global stabilization by using virtual tensegrity structures. Firstly, a systematic approach to d... 详细信息
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Aggregation in Intersection Region for Distributed Heterogeneous Mobile Sensor Networks
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Journal of systems Science and complexity 2017年 第4期30卷 932-949页
作者: Zheng Zhi Peng Zhihong Chen Jie School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081
This paper presents two aggregation strategies in convex intersection region for the distributed mobile sensor network (MSN) with heterogeneous dynamics. First, the authors analyze individual local perception model an... 详细信息
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A Framework of Finite-model Kalman Filter with Case Study: MVDP-FMKF Algorithm
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自动化学报 2013年 第8期39卷 1246-1256页
作者: FENG Bo MA Hong-Bin FU Meng-Yin WANG Shun-Ting School of Automation Beijing Institution of TechnologyBeijing 100081China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of TechnologyBeijing 100081China
然而,过滤技术的 Kalman 广泛地在许多应用被使用了为线性 Gaussian 系统的标准 Kalman 过滤器不能通常工作很好或甚至面对大模型无常分叉。在实际应用程序,有高费用的实验的大数字是昂贵的或对甚至不可能获得一个准确系统模型。在有... 详细信息
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Dynamic Performance Prediction in Batch-Based Assembly System with Bernoulli Machines and Changeovers
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complex System Modeling and Simulation 2022年 第3期2卷 224-237页
作者: Zunjun Wang Zhiyang Jia Xiuxuan Tian Jingchuan Chen Bei Pan State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of TechnologyBeijing 100081China Department of Industrial and Manufacturing Systems Engineering University of Hong KongHong Kong 999077China School of Engineering Tokyo University of TechnologyTokyo 192-0982Japan
Worldwide competition and diverse demand of customers pose great challenges to manufacturing enterprises. How to organize production to achieve high productivity and low cost becomes their primary task. In the mean ti... 详细信息
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Differential Steering control for 6 × 6 Wheel-drive Mobile Robot  26
Differential Steering Control for 6 × 6 Wheel-drive Mobile ...
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26th International Conference on Automation and Computing, ICAC 2021
作者: Zhao, Hongqiang Luo, Chao Xu, Yongkang Li, Jiehao Central South University State Key Laboratory of High Performance Complex Manufacturing School of Mechanical and Electrical Engineering ChangSha China Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing China
The 6 × 6 Wheel-drive mobile robot is widely used in the field of special operations, and there is the phenomenon of slipping in the process of steering. To study the steering accuracy and stability of mobile rob... 详细信息
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Reinforcement Learning Applied to Agent Path Planning  41
Reinforcement Learning Applied to Agent Path Planning
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第41届中国控制会议
作者: Fenglan Sun Xiaoshuai Wu Guoxiong Long Key Laboratory of Intelligent Analysis and Decision on Complex Systems School of ScienceChongqing University of Posts and Telecommunications Key Laboratory of Intelligent Air-Ground Cooperative Control for Universities in Chongqing College of AutomationChongqing University of Posts and Telecommunications Department of Complexity Science Potsdam Institute for Climate Impact Research
This paper provides an enhanced Q-learning algorithm for agent path planning in traditional grid maps,which solves the problem of agent path planning in grid *** an unknown environment,the classic Q-learning algorithm... 详细信息
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