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Consensus networks with time-delays over finite fields

International Journal of control 2016年第5期89卷 1000-1008页

作者： Li, Xiuxian Su, Housheng Chen, Michael Z. Q. Department of Mechanical Engineering University of Hong Kong Pokfulam Hong Kong Sch. of Automat. Image Proc. and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan China

In this paper, we investigate the consensus problem in networks with time-delays over finite fields. The delays are categorised into three cases: single constant delay, multiple constant delays, and time-varying bounded delays. For all cases, some sufficient and necessary conditions for consensus are derived. Furthermore, assuming that the communication graph is strongly connected, some of the obtained necessary conditions reveal that the conditions for consensus with time-delays over finite fields depend not only on the diagonal entries but also on the off-diagonal entries, something that is intrinsically distinct from the case over real numbers (where having at least one nonzero diagonal entry is a sufficient and necessary condition to guarantee consensus). In addition, it is shown that delayed networks cannot achieve consensus when the interaction graph is a tree if the corresponding delay-free networks cannot reach consensus, which is consistent with the result over real numbers. As for average consensus, we show that it can never be achieved for delayed networks over finite fields, although it indeed can be reached under several conditions for delay-free networks over finite fields. Finally, networks with time-varying delays are discussed and one sufficient condition for consensus is presented by graph-theoretic method. © 2015 Taylor & Francis.

关键词： Time delay

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Cooperative output regulation for networked multi-agent systems based on the self-tuning adaptive distributed observer

Cooperative output regulation for networked multi-agent syst...

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American control Conference

作者： Yi Dong Jie Chen Jie Huang Department of Automation Nanjing University of Science and Technology China The State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology China Department of Mechanical and Automation Engineering the Chinese University of Hong Kong HK

ISBN: (纸本)9781467386838

In this paper, we first propose a self-tuning adaptive distributed observer for a multi-agent system, which is capable of providing the estimation of the leader's signal to various followers without assuming all the followers know the system matrix of the leader and which avoids calculating the observer gain off-line. We then further develop an adaptive distributed control law to solve the cooperative output regulation problem for linear heterogeneous multi-agent systems. This control law offers two advantages in that it makes the least use of the information of the network and the information of the leader system, and it avoids calculating the observer gain.

关键词： Observers Multi-agent systems Communication networks Closed loop systems Nickel Decentralized control Multi-agent systems Closed loop systems decentralised control networks(communications) Output Regulation Observers Nickel Telecommunications control law Self tuning

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Iterative Learning control for Distributed Parameter Switched Systems 27

Iterative Learning Control for Distributed Parameter Switche...

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第27届中国控制与决策会议

作者： Zhang Jianxiang Dai Xisheng Tian Senping School of Electrical and Information Engineering Guangxi University of Science and Technology Intelligent Control Laboratory of Industrial Process Guangxi University of Science and Technology School of Automation Science and Engineer South China University of Technology

ISBN: (纸本)9781479970186

Iterative learning control technique is applied to a class of distributed parameters switched systems,using P-type learning control law to investigate the problem of target tracking *** condition of the P type iterative learning control law have been proposed in this paper,and the convergence analysis has been *** is assumed that the subsystem is operated during a finite time interval *** simulation results illustrate that the P-type iterative learning control algorithm for a class of distributed parameter switched system is effective.

关键词： iterative learning control,switched system,distributed parameter system,convergence analysis.

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Sources of organic matter and paleo-environmental implications inferred from carbon isotope compositions of lacustrine sediments at Inexpressible Island, Ross Sea, Antarctica

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Advances in Polar science 2016年第4期27卷 233-244页

作者： WEI Yangyang JIN Jing NIE Yaguang CHEN Xin WU Libin FU Pingqing LIU Xiaodong Steven D.Emslie Institute of Polar Environment School of Earth and Space Sciences University of Science and Technology of China Key Laboratory of Ion Beam Bioengineering Hefei Institutes of Physical Science Chinese Academy of SciencesKey Laboratory of Environmental Toxicology and Pollution Control Technology of Anhui Province LAPC Institute of Atmospheric Physics Chinese Academy of Sciences Department of Biology and Marine Biology University of North Carolina Wilmington

The carbon isotopic composition of organic matter （δ^13Corg） was determined in two sediment cores （IIL1 and IIL9） recovered from Inexpressible Island, Ross Sea, Antarctica, and analyzed to identify the sources of that organic matter. The δ^13Corg values of sediments of IIL9 were found to vary between -14.6‰ and -11.6‰, with a mean of-13.4‰ （n=48）. These values were significantly higher than those of IIL1 sediments which varied between -23.2‰ and -20.4‰, with a mean of-21.8%o （n=55）. The variation in δ^13Corg values in these two sediment cores indicate different sources of organic matter, The relatively high 6~3Corg values in IIL9 are in accordance with a source from algae, while the low δ^13Corg values in IIL1 evince significant influence from penguin guano with algae as the secondary source. Compared with the reference data from other high-latitude lake sediments and plants, the δ^13Corg values in IIL9 were extremely high, a result likely related to intense competition for CO2 assimilation among algal species during the growing season in this relatively shallow pond. These results indicate that sedimentary δ^13Corg is a reliable proxy for paleo-primary productivity in ponds at Inexpressible Island.

关键词： Inexpressible Island Ross Sea pond sediments lake algae carbon isotopic composition paleo-environment

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Sliding Mode control Attitude Tracking of Rigid spacecraft using Adaptive Back-Stepping Method 34

Sliding Mode Control Attitude Tracking of Rigid Spacecraft u...

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第三十四届中国控制会议

作者： YU Chunmei LU Kunfeng XIA Yuanqing LIU Hailiang Aerospace and Materials Engineering National University of Defense Technology Beijing Aerospace Automatic Control Institute National key laboratory of science and technology on aerospace intelligent control the school of Automation Beijing Institute of Technology

ISBN: (纸本)9781467374439

The attitude tracking control problem for a rigid spacecraft system is investigated in this paper. A novel adaptive approach is proposed with the utilization of sliding mode control(SMC) and backstepping technique(BT) to achieve accurate attitude tracking control for spacecraft system in the presence of inertia uncertainties and external disturbances. Finally, simulation results are presented to illustrate effectiveness of the control strategies.

关键词： Adaptive control,Attitude tracking,Sliding mode control,Backstepping technique

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Nonnegative Edge Consensus of Networked Linear Systems

Nonnegative Edge Consensus of Networked Linear Systems

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第35届中国控制会议

作者： Xiaoling Wang Housheng Su Xiaofan Wang Guanrong Chen Department of Automation Shanghai Jiaotong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of ChinaHuazhong University of Science and Technology Department of Electronic Engineering City University of Hong Kong

ISBN: (纸本)9781509009107

In this paper,nonnegative edge consensus of systems steered by general linear dynamics on directed network is *** the new approach,one first endows dynamics to each directed edge and then designs a distributed edge consensus protocol guiding all edges to reach a common *** the help of line graph theory,it is proved that strongly connected network can ensure reaching nonnegative edge consensus,if the initial conditions of all edges are *** simulations are provided to verify the theoretical results.

关键词： Networked system Nonnegative edge consensus Distributed algorithm Line graph

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Continuous Characteristic Model Based Adaptive control Method for a Class of Uncertain Nonlinear Systems

Continuous Characteristic Model Based Adaptive Control Metho...

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第三十四届中国控制会议

作者： Lijia Xu Yong Hu Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory

ISBN: (纸本)9781467374439

This paper presents a novel control method which can guarantee ultimate boundedness for a class of uncertain nonlinear systems. A special model transformation approach is proposed to transform the uncertain nonlinear system to a linear time-varying system called continuous characteristic model. Then, based on the continuous characteristic model, we develop an adaptive control method to guarantee the stability of the closed loop system. Finally, the proposed method is illustrated by simulations.

关键词： Continuous Characteristic Model,Adaptive control,Uncertain Nonlinear System

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Observer-Based Task-space Consensus of Networked Robotic Systems: A Separation Approach

Observer-Based Task-Space Consensus of Networked Robotic Sys...

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第三十四届中国控制会议

作者： Hanlei Wang Yongchun Xie Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering

ISBN: (纸本)9781467374439

In this paper, we investigate the task-space consensus problem for multiple robotic systems with both the uncertain kinematics and dynamics in the case of existence of constant communication delays. We propose an observer-based adaptive control scheme to achieve the consensus objective without relying on the measurement of task-space velocities. The proposed new control scheme employs a new observer that does not rely on the joint velocity, and a new kinematic parameter adaptation law that is driven by both the observation and consensus errors, giving rise to the desirable separation property of the proposed control. By the Lyapunov-like and i BIBO-stability-based analyses, we demonstrate that the task-space positions of the robotic systems converge to the scaled weighted average of their initial values. The performance of the proposed observer-based adaptive scheme is shown by a numerical simulation.

关键词： Consensus,networked robotic systems,kinematic uncertainties,observer,adaptive control

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An overview of coordinated control for multi-agent systems subject to input saturation

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Perspectives in science 2016年 7卷 133-139页

作者： Xiaoling Wang Housheng Su Xiaofan Wang Guanrong Chen Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China Department of Electronic Engineering City University of Hong Kong Hong Kong China

Coordinated control of multi-agent systems has widespread application in engineering such as unmanned aerial vehicles and unmanned ground vehicles. Due to the fact that input saturation can lead a control system to deterioration and instability, a lot of efforts have been devoted to investigating this subject of great importance. The present article offers a survey of recent developments on coordinated control of multi-agents systems subject to input saturation. Some preliminaries about graph theory, stability theory and input saturation are first provided, followed by some important results in the area, which are categorized into semi-global and global coordinated controls. Future research topics are finally discussed.

关键词： Multi-agent system Coordinated control Consensus tracking Input saturation Low-and-high-gain feedback

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A survey on big data for human body shape

A survey on big data for human body shape

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Hongli Peng Xiuqin Shang Chao Guo Gang Xiong Timo R. Nyberg Dong Fan Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China College of Information Science and Technology Beijing University of Chemical Technology Beijing China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China Cloud Computing Center Chinese Academy of Sciences China Guangdong Department of Industrial Engineering and Management Aalto University Finland SBoleni Intelligent Solutions Technology (SuZhou) Co. Ltd Joint Laboratory of Intelligent IoT & Cloud for Parallel Management & Control Suzhou China

ISBN: (纸本)9781509029280

In recent years, the rapid development of network and E-commerce technologies, promotes the development of human body big data. New technologies, such as 3D scanning and 3D printing will improve our life quality. The new socialized manufacturing network composed of IoT, advanced logistics network and 3D printers. Everyone is allowed to have chance to participate in any process of the whole production manufacturing lifecycle by some ways, such as crowdsourcing. Boosts the creation, production and consumption patterns of individuation, real-time transformation and E-commerce, possibly will lead to a new industrial revolution. In this revolutionary change wave, public concerns focus on the human body big data used for social manufacturing of wearable products or personalized medical treatment. Although many scholars have done a lot of research work, the collection of the human body shape big data still faces many challenges. There is no complete, separated theoretical research works in progress, it should be summarized and improved systematically. In this paper, we review that big data for human body shape is gaining momentum. The 3D scanning and 3D modeling of human body shape are summarized and concluded. The main applications of these big data are analyzed.

关键词： Three-dimensional displays Feature extraction Shape Biological system modeling Solid modeling Computational modeling Data models

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