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第三十二届中国控制会议

作者： Wen-Min Zhou Yan Wu Yan-Wu Wang Jiang-Wen Xiao School of Automation Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan Institute of Marine Electric Propulsion CSIC

ISBN: (纸本)9781479900305

This paper is concerned with the modeling and the control of networked control systems(NCSs) with stochastic packet *** order to facilitate the technical description,network-induced time delay is assumed to be *** closed-loop NCS with stochastic packet dropout is modeled as a continuous-time system with time-varying delays and stochastic parameters. By utilizing the Lyapunov-Krasovskii functional method,the integral inequality lemma and the Gronwall-Bellman lemma,a less conservative criterion for exponential mean-square stability of NCS with stochastic packet dropout is presented in the form of nonlinear matrix ***,the state feedback gain matrix is provided based on solving a linear matrix inequality (LMI).Moreover,the state feedback gain matrix is obtained by solving a linear matrix inequality(LMI).Based on the solvability of this LMI,the allowable upper bound of continuous packet dropouts is determined,from which the maximum allowable time interval(MATI) can also be ***,a numerical example is given to demonstrate the effectiveness of our results.

关键词： exponential mean-square stability networked control system stochastic packet dropout maximum allowable time interval

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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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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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Uniform Solution to QSAT by P Systems with Proteins

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电子学报(英文版) 2012年第4期21卷 667-672页

作者： LU Chun SHI Xiaolong Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

P systems are distributed parallel computing models in the area of membrane computing, which are inspired by the structure and the functioning of living cells, as well as the organization of cells in tissues, organs, and other higher order structures. P systems with proteins on membranes are a class of P systems, which have proved to be very efficient computing devices. Specifically, it was known that the Quantified satisfiability problem (QSAT) of a Boolean formula can be solved by a semi-uniform family of P systems with proteins on membranes and with membrane division. However, it remains open whether a uniform families of P systems with proteins on membranes can solve in polynomial time exactly the class of problems PSPACE. In this work, we present a uniform solution to QSAT problem by P systems with proteins on membranes in a linear time with respect to both the number n of Boolean variables and the number m of clauses of the instance, which answers the above open problem.

关键词：蛋白质膜 P系统分布式并行计算多项式时间 PSPACE 高级结构细胞膜计算模型 Membrane computing, Membrane protein, PSPACE-complete problem, Quantified satisflability problem （QSAT problem）, Uniform solution.

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Flocking in Multi-Agent Systems with Multiple Virtual Leaders Based Only on Position Measurements

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Communications in Theoretical Physics 2012年第5期57卷 801-807页

作者：苏厚胜 Department of Control Science and Engineering Image Processing and Intelligent Control Key Laboratory of Education Ministry of ChinaHuazhong University of Science and Technology

Most existing flocking algorithms assume one single virtual leader and rely on information on both relative positions and relative velocities among neighboring *** this paper,the problem of controlling a flock of mobile autonomous agents to follow multiple virtual leaders is investigated by using only position information in the sense that agents with the same virtual leader asymptotically attain the same velocity and track the corresponding virtual leader based on only position measurements.A flocking algorithm is proposed under which every agent asymptotically attains its desired velocity,collision between agents can be avoided,and the final tight formation minimizes all agents' global potentials.A simulation example is presented to verify and illustrate the theoretical results.

关键词： distributed control flocking multi-agent system multiple virtual leaders

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Small Universal Sequential Spiking Neural P Systems based on Minimum Spike Number

Small Universal Sequential Spiking Neural P Systems based on...

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The Second Asian Conference on Membrane Computing(ACMC2013)

作者： Keqin Jiang Yufang Huang Jinbang Xu Zhihua Chen Key Laboratory of Image Processing and Intelligent Control School of Automation Huazhong University of Science and Technology School of Computer and Information Anqing Normal University College of Mathematics Southwest Jiaotong University

Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. Recently, a variant of SN P systems was considered: at each step the neuron with the minimum number of spikes among the neurons that can spike will fire. In previous literature, it was obtained that such systems can achieve Turing completeness when the computing result is realized through accumulation of spikes in the output neuron. In this work, we use a natural way to define the computing result of the systems, by means of determining the time interval between the first two spikes emitted by the output neuron. As devices of computing functions, we construct a universal sequential SN P system based on minimum spike number (without delay) by using 137 neurons;as generators of sets of numbers, a universal sequential SN P system based on minimum spike number (without delay) with 126 neurons is also obtained.

关键词： Membrane computing, Spiking neural P system, Sequentiality, Small universal system

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CROSS-VIEW ACTION RECOGNITION VIA TRANSDUCTIVE TRANSFER LEARNING

CROSS-VIEW ACTION RECOGNITION VIA TRANSDUCTIVE TRANSFER LEAR...

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IEEE International Conference on image processing

作者： Jie Qin Zhaoxiang Zhang Yunhong Wang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781479923427

Human action recognition is a hot topic in computer vision field. Various applicable approaches have been proposed to recognize different types of actions. However, the recognition performance deteriorates rapidly when the viewpoint changes. Traditional approaches aim to address the problem by inductive transfer learning, in which target-view samples are manually labeled. In this paper, we present a novel approach for cross-view action recognition based on transduc-tive transfer learning. We address the problem by transferring instances across views. In our settings, both labels of examples from the target view and the corresponding relation between examples from pairwise views are dispensable. Experimental results on the IXMAS multi-view data set demonstrate the effectiveness of our approach, and are comparable to the state of the art.

关键词： action recognition transfer learning transductive SVM Transfer (Psychology) state of the art target view Recognition (Psychology) Learning

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SEMI-SUPERVISED LEARNING IN TRAFFIC SCENE SURVEILLANCE BASED ON LABEL-PROPAGATION

SEMI-SUPERVISED LEARNING IN TRAFFIC SCENE SURVEILLANCE BASED...

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IEEE International Conference on image processing

作者： Meng Liang Zhaoxiang Zhang Yunhong Wang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781479923427

Object classification in traffic scene surveillance has attracted much attention recent years. Traditional classification methods need lots of labeled samples to build a satisfying classifier. However, the acquisition of the labeled samples may cost lots of time and human labor. In this paper, we propose an label-propagation based semi-supervised learning method which uses the information of both labeled and unlabeled samples. Experiment results show that our method outperforms the traditional methods both in accuracy and robustness.

关键词： traffic scene surveillance object classification label propagation semi-supervised learning Semi-supervised Learning Traffic traffic monitoring Classification Methods

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The impact of stock-dependent demand on supply chain dynamics

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Applied Mathematical Modelling 2013年第18-19期37卷 8348-8362页

作者： Yongchang Wei Hongwei Wang Chao Qi Institute of Systems Engineering and the Key Laboratory of Image Processing and Intelligent Control of Education Ministry Huazhong University of Science and Technology Wuhan 430074 PR China School of Business Administration Zhongnan University of Economics and Law Wuhan 430073 PR China

This paper presents an investigation on the dynamics of a supply chain system under stock-dependent demand. Considering the feature of piecewise linearity, a switched linear model composed of three subsystems is developed. Based on the switched model, some analytical stability results are derived. Simulation experiments are designed to verify the stability results and observe nonlinear dynamics. We show that stock-dependent demand not only leads to different stability results but also makes nonlinear dynamics more complicated. We also reveal that the nonlinear dynamics of the switched model, such as chaotic and periodic fluctuations of inventory and order, are essentially caused by switching frequently among subsystems due to uncertainties of inventory status. The results obtained in this paper help us understand the dynamic complexities of supply chain system and provide guidelines for selecting decision parameters to improve overall performance.

关键词： Supply chain system Stock-dependent demand Dynamics Switched system Modeling and simulation

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Homotopy-based image reconstruction in breast ultrasound tomography

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Journal of Information and Computational Science 2013年第3期10卷 687-699页

作者： Gaddoura, Omer M. Wang, Longhui Ding, Mingyue School of Life Science and Engineering Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Engineering Wuhan 430074 China

To diagnose breast cancer, an alternative approach to X-ray mammography and B-mode ultrasound is the Breast Ultrasound Computed Tomography (UCT). Concerning breast cancer detection, mammographic techniques have been considered as gold standard modality but these methods suffer through high rate of false-positive results and radiations. In addition, the use of low resolution images in the conventional ultrasound techniques is another problem that makes it difficult to differentiate between breast tissues and tumor existence. In this particular study, we have used a full wave-based tomographic technique to diagnose the breast cancer. While taking into account the physical characteristics, full wave-based approach constructs non-linear operator that transforms it as a nonlinear inverse problem or a minimization problem. To solve the non-linear inverse problem, we have used Homotopoy Continuation Methods (HCM), which is globally convergent method and provides multiple solutions. In the subsequent steps, to reduce the computational complexity and the high usage of memory for finding out the Jacobian of the cost function, we have applied discrete adjoint method. In the last, the effect of the noise to the reconstructed image has been tested. In this preliminary analysis with the use of adjoint methods, obtained results have shown the robustness and visibility of our proposed approach. © 2013 by Binary Information Press.

关键词： image reconstruction

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