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检索条件"机构=Machine Vision and Intelligence Control Technology Key Laboratory Hefei University"

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Robust stabilization for uncertain singular Markovian jump systems

Robust stabilization for uncertain singular Markovian jump s...

引用

作者： Li, Yafeng Kang, Yu Hu, Yong Wang, Jun Department of Automation University of Science and Technology of China Hefei 230026 China Key Lab. of Machine Vision and Intelligence Control Technology Hefei University Hefei Anhui 230601 China

ISBN: (纸本)9787894631046

In this paper, the problems of robust stability and stabilization for singular Markovian jump systems with uncertainties are considered. In the system, the uncertainties are unknown time-varying but norm bounded. The system is transformed into an equivalent one by premultiplying and postmultiplying matrices. Sufficient conditions are given and the controllers are designed such that the system is regular, impulse-free and stochastically stable in mean square sense for the uncertainty. Finally, numerical examples are given to demonstrate the effectiveness of the proposed methods.

关键词： Stabilization

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Research and design of mobile robot moving object tracking system on hierarchical control

Research and design of mobile robot moving object tracking s...

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International Conference on Computer Application and System Modeling (ICCASM)

作者： Liu Wei Tanmin Jian-ping Wang Zhang chongwei Wang Jun School of Electrical Engineering and Automation Hefei University Key Laboratory of Machine Vision and Intelligence Control Technology Hefei China School of Electrical Engineering and Automation Hefei University of Technology Hefei China Hefei University Key Laboratory of Machine Vision and Intelligence Control Technology Hefei China Key Laboratory of Machine Vision and Intelligence Control Technology Hefei University Hefei China Hefei University Hefei CN

A intelligent control model structure of double-level-three-stage is presented to deal with the moving robot detecting and tracking system. According to basic ideas of imitation of human intelligence control, it includes Decision-making level and Execution level, each level is decomposed into 3 stages. In the process of tracking, the moving objects state forecast and two-step increment tracking algorithm based on Kalman filter are adopted to drive the mobile robot quickly and smoothly. The robot system to detect and track moving objects with the model structure is designed and its application in automobile stake is illustrated.

关键词： Image segmentation Image recognition Humans Robot kinematics

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Output-Feedback Robust Adaptive control for Strict-feedback Stochastic Nonlinear Systems under Inverse Optimality Costs

Output-Feedback Robust Adaptive Control for Strict-feedback ...

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The 22nd China control and Decision Conference(2010年中国控制与决策会议)

作者： Jingsheng Wang Jun Wang Wei Liu Ping Ji Key Lab. of Machine Vision and Intelligence Control Technology Hefei University Hefei 230022 P. R. China

The solvable problem of adaptive inverse optimal stabilization in probability is discussed, and control laws of global asymptotic stability in probability and adaptive inverse optimal stabilization in probability are developed for output-feedback stochastic nonlinear continuous systems with additive standard Wiener noises and constant unknown parameters by using It(o)'s differentiation rule and adaptive backstepping algorithms. The adaptive control law and the parameter update laws can be obtained at same time by this design scheme.

关键词： Output-feedback Wiener noises Backstepping algorithm Inverse optimality Stability in probability

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PREDICTIVE control OF GREENHOUSE TEMPERATURE BASED ON MIXED LOGICAL DYNAMICAL SYSTEMS

PREDICTIVE CONTROL OF GREENHOUSE TEMPERATURE BASED ON MIXED ...

引用

World Automation Congress 2010

作者： LINLIN QIN CHUN SHI QING LING GANG WU JUN WANG XIAOJUN QIAO Department of Automation University of Science and Technology of China Machine Vision and Intelligence Control Technology Key Laboratory Hefei University National Engineering Research Center for Information Technology in Agriculture

Most of the greenhouse climate control equipments in China are on-off control and without displacement ***,modeling and control theories based on continuous control devices are not *** the other hand,conventional on-off control algorithms require frequent switch actions of equipments,which leads to equipment spoilage and energy *** address these issues,this paper proposes to control greenhouse climate using a hybrid system *** the interactive dynamics between the actions of ventilation window and the output of the control system（temperature）according to the value of inside temperature and operational constrains,the ventilation window temperature system in a greenhouse can be regarded as a hybrid dynamical *** addition to building models of greenhouse temperature,a model predictive control（MFC）algorithm of greenhouse air temperature is proposed for the mixed logical dynamical *** results in a greenhouse prove the effectiveness of our modeling and control algorithms.

关键词： air temperature system greenhouse hybrid systems mixed logical dynamical（MLD） systems model predictive control（MPC）

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Robust stabilization for uncertain singular Markovian jump systems

Robust stabilization for uncertain singular Markovian jump s...

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Chinese control Conference (CCC)

作者： Yafeng Li Yu Kang Yong Hu Jun Wang Department of Automation University of Science and Technology Hefei China Department of Automation University of Science and Technology of China Hefei P.R. China the Key Lab. of Machine Vision and Intelligence Control Technology Hefei University Hefei Anhui P.R. China

关键词： Erbium Uncertainty Uncertain systems State feedback Robustness Markov processes Feedback control

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Modular design of adaptive controller for strict-feedback stochastic nonlinear systems with uncertain Wiener noise

Modular design of adaptive controller for strict-feedback st...

引用

International Conference on control, Automation, Robotics and vision (ICARCV)

作者： Jun Wang Tao Cai Yu Kang Key Laboratory of Machine Vision and Intelligence Control Technology Hefei University Hefei China Department of Automation University of Science and Technology Hefei China

In this paper, a modular approach is proposed for a class of strict-feedback stochastic nonlinear systems with uncertain Wiener noises and constant unknown parameters. Both the adaptive Backstepping procedure and input-to-state stable(ISS) controller of global stabilization in probability are designed to guarantee that the system states are bounded and has adaptive stabilization while the covariance of Wiener noises is uncertain. According to Swapping technique, we develop two filters and convert dynamic parametric models into static ones to which the gradient update law is designed.

关键词： Programmable control Adaptive control Nonlinear control systems control systems Stochastic systems Stochastic resonance Nonlinear systems Backstepping Filters Parametric statistics

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Modular design of adaptive tracking for a class of stochastic nonlinear systems

Modular design of adaptive tracking for a class of stochasti...

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International Conference on control, Automation, Robotics and vision (ICARCV)

In this paper, a modular design approach of adaptive tracking is proposed for parameter-strict-feedback stochastic nonlinear systems with standard Wiener noises and constant unknown parameters. Both the adaptive backstepping procedure and input-to-state stable (ISS) controller of global stabilization in probability are designed separately to ensure the output-feedback tracking can be achieved. According to swapping technique, we develop two filters and convert dynamic parametric models into a static one to which the gradient update law is chosen. The transient performance shows the tracking error is bounded.

关键词： Stochastic systems Nonlinear systems Adaptive control control systems Nonlinear control systems Programmable control Automatic control Robust control Error correction Sliding mode control

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Research on rough set theory and applications in China

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Lecture Notes in Computer Science

作者： Wang, Guoyin Zhang, Qinghua Huang, Houkuan Ye, Dongyi Hu, Qinghua Hu, Xuegang Shi, Zhongzhi Li, Yongli Shang, Lin An, Liping Sai, Ying Chen, Shanben Liang, Jiye Qin, keyun Zeng, Huanglin Xie, Keming Miao, Duoqian Min, Fan Wu, Zhaocong Wu, Weizhi Dai, Jianhua Institute of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Information Science and Technology Southwest Jiaotong University Chengdu 610031 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China College of Math. and Computer Fuzhou University Fuzhou 350002 China Harbin Institute of Technology PO Box 458 Harbin 150006 China School of Computer and Information Hefei University of Technology Hefei 230009 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Lanzhou University No.222 Tianshui South Rd. Lanzhou 730000 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Management Science and Engineering Department Business School Nankai University Tianjin 300071 China Shandong University of Finance No.40 Shun-geng Road Jinan 250014 China Welding Engineering Institute Shanghai Jiaotong University Shanghai 200030 China School of Computer and Information Technology Shanxi University Taiyuan 030006 China Intelligent Control Development Center Southwest Jiaotong University Chengdu 610031 China Artificial Intelligence of Key Laboratory Sichuan University of Science and Engineering Zigong 643000 China Department of Automation College of Information Engineering Taiyuan University of Technology Taiyuan 030024 China 4800 CaoAn Highway Shanghai 201804 China School of Computer Science and Technology University of Electronic Science and Technology of China Chengdu 610054 China School of Remote Sensing Information Engineering Wuhan University Wuhan 430079 China Institute for Information and System Sciences Faculty of Science Xi'an Jiaotong University Xi'an 710049 China Information College Zhejiang Ocean University Zhejiang 316004 China Institute of Artificial Intelligence Zhejiang University Hangzhou 310027 China

ISBN: (纸本)3540850635

This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description of the following things: Chinese research groups on rough set with their URLs for web pages, names of principal researchers (supervisors), numbers of graduate students, and topics being investigated. Statistical summaries showing the growth in the research on rough set theory and application in China are included. In addition, an introduction summarizing the research interests of Chinese researchers is included in this article. The contribution of this article is a complete overview of the principal research directions in rough set theory and its applications in China. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Rough set theory

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Web-Age Information Management 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Yunjun Gao Kyuseok Shim Zhiming Ding Peiquan Jin Zujie Ren Yingyuan Xiao An Liu Shaojie Qiao

ISBN: (数字)9783642395277

ISBN: (纸本)9783642395260

This book constitutes the refereed proceedings of six workshops of the 14th International Conference on Web-Age Information Management, WAIM 2013, held in Beidaihe, China, June 2013. The 37 revised full papers are organized in topical sections on the six following workshops: The International Workshop on Big Data Management on Emerging Hardware (HardBD 2013), the Second International Workshop on Massive Data Storage and Processing (MDSP 2013), the First International Workshop on Emergency Management in Big Data Age (BigEM 2013), the International Workshop on Trajectory Mining in Social Networks (TMSN 2013), the First International Workshop on Location-based Query Processing in Mobile Environments (LQPM 2013), and the First International Workshop on Big Data Management and Service (BDMS 2013).

关键词： Information Storage and Retrieval Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Database Management Computer Communication Networks Algorithm Analysis and Problem Complexity

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