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第26届中国控制与决策会议

作者： Yang Xu Li Qing Peng Kaixiang Tong Chaonan Ding Dawei Key Laboratory of Advanced Control of Iron and Steel Process School of Automation and Electrical EngineeringUniversity of Science and Technology Beijing State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University

A nonlinear self-excited vibration model of main drive system in cold rolling is established. The mechanism of torsional vibration in main drive system stability is discussed within multiple scale method as well as Hopf bifurcation theorem. Then, the periodic solutions and condition of Hopf bifurcation are derived and the influence by subcritical/supercritical bifurcation is analyzed. Based on the simulation experiments with actual industrial data, the previous theoretical analysis and nonlinear model have been testified.

关键词： Nonlinear Modeling,Self-excited Vibration,Stability Analysis,Main Drive system,Cold Rolling Process

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Swarm aggregations of heterogeneous multi-agent systems

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International Journal of control 2014年第12期87卷 2594页

作者： Liang, Haili Su, Housheng Wang, Xiaofan Chen, Michael Z.Q. [a] Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China[b] School of Automation Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China[c] Department of Mechanical Engineering The University of Hong Kong Hong Kong

This paper investigates the problem of swarm aggregations of heterogeneous multi-agent systems. Comparing with the existing studies on swarm aggregations of homogeneous multi-agent systems, this paper is much more resembling the practical situations, where the agents have different dynamics. We show that the heterogeneous agents will gather with a certain error under some assumptions and conditions. The stability properties have been proven by theoretical analysis and verified via numerical simulation. The stability of the heterogeneous multi-agent systems has been achieved based on matrix theory and the Lyapunov stability theorem. Numerical simulation is given to demonstrate the effectiveness of the theoretical result. [PUBLICATION ABSTRACT]

关键词： swarm multi-agent systems heterogeneous systems stability

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Crawling Gait Planning for a Quadruped Robot with High Payload Walking on Irregular Terrain

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IFAC Proceedings Volumes 2014年第3期47卷 2153-2158页

作者： Nan Hu Shaoyuan Li Dan Huang Feng Gao Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai 200240 China School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai 200240 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China

Walking on irregular terrain is usually a common task for a quadruped robot. It is however difficult to control the robot in this situation as undesirable impulse force by collision between the foot of robot and obstacles makes the robot unstable. This paper presents a hybrid Force-Posture Feedback Compensation (FPFC) controller for a quadruped robot with high payload walking on irregular terrain. In order to make the robot walk stably on irregular terrain, the proposed controller utilizes the feedback signals detected by force sensor and gyroscope to adjust every leg of the robot in real-time. The foot trajectory is scheduled based on the Bezier curve method in order to improve the stability of quadruped robot. Simulations of crawling gait on irregular terrain have been performed. The results have verified that the proposed methods have better stability and performance for walking on the irregular terrain.

关键词： Quadruped robot gait planning trajectory planning kinematics

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Integrated object and path demonstration for industrial robots in adaptive handling applications

Integrated object and path demonstration for industrial robo...

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International Conference on Emerging Technologies and Factory automation (ETFA)

作者： C. F. Wu S. K. Lin J. Lambrecht T. D. Nguyen A. Vick M. Kleinsorge J. Krüger Division of Intelligent System Engineering Industrial Technology Research Institute Mechanical and Systems Research Laboratory Hsinchu Taiwan National Chiao Tung University Institute of Electrical Control Engineering Hsinchu Department Industrial Automation Technology Technische Universität Berlin Insitute for Machine Tools and Factory Management Berlin Germany

We propose an approach for integrated object and path demonstration. The main idea is to choose the motion of the robot depending on the object it grabs. When programming, an object is fixed at the robot's gripper. Path programming is done using haptic guidance. Afterwards, if a robot is handed over an object it knows before, it reproduces the path assigned to the object. Path programming and object recognition can be done with a single force/torque sensor. In our opinion, this way of programming is especially suited for creating pick and place tasks in frequently changing production environments where (re-)programming has to be done frequently.

关键词： Robot sensing systems Programming Service robots Force Grippers Training

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Adaptive visual servoing using common image features with unknown geometric parameters

Adaptive visual servoing using common image features with un...

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作者： Liu, Yun-Hui Wang, Hesheng Chen, Weidong Zhou, Dongxiang Department of Mechanical and Automation Engineering Chinese University of Hong Kong Hong Kong Hong Kong Department of Automation Shanghai Jiao Tong University China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China State Key Laboratory of Robotics Technology and System Harbin Institute of Technology Harbin 150001 China Joint Center for Intelligent Sensing and Systems National University of Defense Technology China

This paper generalizes the concept of the depth-independent interaction matrix, developed for point and line features in our early work, to generalized image features. We derive the conditions under which the depth-independent interaction matrix can be linearly parameterized by the geometric parameters of the generalized image features, and propose an adaptive visual servo controller for robot manipulators using the generalized image features whose geometric parameters are unknown. To estimate the unknown parameters on-line, we propose new error functions that are linear to estimation errors of the parameters and an algorithm that minimizes the error functions using multiple images. The Lyapunov theory is used to prove asymptotic stability of the proposed controller based on the nonlinear dynamics of the manipulator. It is also shown that in addition to points and lines, other common image features like distances, angles, areas, and centroids all satisfy the conditions for the linear parameterization. Experiments have been conducted to validate the proposed control method. © 2013 Elsevier Ltd. All rights reserved.

关键词： controllers

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Swarm Stability of Heterogeneous Multi-agent systems via Periodically Intermittent control

Swarm Stability of Heterogeneous Multi-agent Systems via Per...

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第三十二届中国控制会议

作者： Haili Liang Housheng Su Xiaofan Wang Michael Z. Q. Chen Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Department of Mechanical Engineering The University of Hong Kong

ISBN: (纸本)9789881563835

This paper investigates distributed leader-following swarm stability of heterogeneous multi-agent systems with periodically intermittent control. We assume that the agents in the network are nonidentical and the coupling matrix is balanced. Each heterogeneous follower is assumed to obtain some information from the leader and the neighbors only on a series of periodically time intervals. We show that the system will be exponentially stable. The stability properties are proved via theoretical analysis and verified via numerical simulations. The stability of the heterogeneous multi-agent systems is proved based on matrix theory and the Lyapunov stability theorem. A numerical example is shown to demonstrate the effectiveness of the theoretical result.

关键词： Multi-agent systems, Heterogeneous systems, Intermittent control, Swarm

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Distributed Leader-following Swarm of Heterogeneous Multi-agent systems *

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IFAC Proceedings Volumes 2013年第13期46卷 13-18页

作者： Haili Liang Housheng Su Xiaofan Wang Michael Z.Q. 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 Luoyu Road 1037 Wuhan 430074 China Department of Mechanical Engineering The University of Hong Kong Hong Kong

This paper investigates distributed leader-following swarm of heterogeneous multi-agent systems. Comparing with the existing works on leader-following swarm of homogeneous multi-agent systems, this paper is much more approaching the practical situation because the agents have different dynamics. We show that the heterogeneous followers will gather with a certain error lever under some assumptions and conditions. The stability properties have been proven by theoretical analysis and verified via numerical simulation. The stability of the heterogeneous multi-agent systems has been achieved based on matrix theory and the Lyapunov stability theorem. Numerical simulation is given to demonstrate the effectiveness of the theoretical result.

关键词： Swarm Multi-agent systems Heterogeneous systems Distributed control

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Data fusion for target tracking in wireless sensor networks using quantized innovations and Kalman filtering

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Science China(Information Sciences) 2012年第3期55卷 530-544页

作者： XU Jian1,2 , LI JianXun1,2 & XU Sheng3 1Department of automation, Science and Technology on Avionics Integration laboratory, Shanghai Jiao Tong University, Shanghai 200240, China 2Department of automation, system control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University, Shanghai 200240, China 3School of mechanical engineering, Shanghai Jiao Tong University, Shanghai 200240, China 1. Department of Automation Science and Technology on Avionics Integration Laboratory Shanghai Jiao Tong University Shanghai 200240 China2. Department of Automation System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai 200240 China3. School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China

A novel networked data-fusion method is developed for the target tracking in wireless sensor networks (WSNs). Specifically, this paper investigates data fusion scheme under the communication constraint between the fusion center and each sensor. Such a message constraint is motivated by the bandwidth limitation of the communication links, fusion center, and by the limited power budget of local sensors. In the proposed scheme, each sensor collects one noise-corrupted sample, performs a quantizing operation, and transmits quantized message to the fusion center. Then the fusion center combines the received quantized messages to produce a final estimate. The novel data-fusion method is based on the quantized measurement innovations and decentralized Kalman filtering (DKF) with feedback. For the proposed algorithm, the performance analysis of the estimation precision is provided. Finally, Monte Carlo simulations show the effectiveness of the proposed scheme.

关键词： data fusion target tracking limited bandwidth quantized innovation Kalman filtering

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INFORMATION-CENTRIC INDUSTRIAL INTERNET OF THINGS:SERVICE MODEL

INFORMATION-CENTRIC INDUSTRIAL INTERNET OF THINGS:SERVICE MO...

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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence systems

作者： Yang Wang Peng Zeng Xu Wang Yangyu Zhang Fangjun Kuang Baohui Zhu Laboratory of Industrial Control Network and System Shenyang Institute of AutomationChinese Academy of Sciences School of Mechanical Engineering Liaoning University of Petroleum and Chemical Technology University of Chinese Academy of Sciences

Industrial network of the next generation are expected to have augmented capabilities and intelligence within the information-centric paradigm supports. In this paper, a 7-level network protocol is devised with the service-oriented architecture of a 3-tier hierarchical model. Large-scale decentralized resources are abstracted into virtual physical devices first as a primary service provider. Knowledge and services are defined and formulated using ontology models in a modeling layer. Context awareness is used to align attributes and to intensify couplings between different decentralized resources by decomposing and aggregating internal ontology models. Knowledge, services and context make large-scale industrial networks more cognitive and feasible. Through the optimal composition of elementary services, decentralized applications are implemented in the service-oriented architecture. An informational architecture can finally be established using incomplete measurement data and reasoning for large-scale industrial networks.

关键词： semantic networks, Internet of things (IoTs), service-oriented architectures (SOAs), smart grid

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INFORMATION-CENTRIC INDUSTRIAL INTERNET OF THINGS:ENERGY MODEL

INFORMATION-CENTRIC INDUSTRIAL INTERNET OF THINGS:ENERGY MOD...

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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence systems

作者： Yang Wang Peng Zeng HuaLiang Zhang Yang Liu Ting Wang FangJun Kuang Laboratory of Industrial Control Network and System Shenyang Institute of AutomationChinese Academy of Sciences School of Mechanical Engineering Liaoning University of Petroleum and Chemical Technology University of Chinese Academy of Sciences

Service-oriented architectures make establishing comprehensive profiles of smart factories feasible. In this paper, an energy tree model is used to describe an overall and detailed profile that shapes energy system dynamics. The model of the energy tree that accumulates local information in real-time, is managed by information-centric industrial networks. Plant-site energy resources that are temporally or spatially related are aligned into groups to relieve ever-changing temporal and spatial misalignments. Meanwhile, energy resources are generalized into process units and energy interconnectors. The key objective of energy tree is to align attributes and to intensify couplings between different process units and energy interconnectors by decomposing and aggregating energy flow. An indoor smart microgrid is set up to testify the model of energy tree, and the electric power input and output were analyzed, which verifies the availability of the energy tree.

关键词： energy Model Internet of things (IoTs) service-oriented architectures (SOAs) smart microgrid

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