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8th IFAC Conference on Fieldbuses and Networks in industrial and Embedded Systems, FeT 2009

作者： Li, Xiao Hui Xu, Hong Qin Hong, Seung Ho Wang, Zhi Piao, Xiang Fan Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Education Wuhan University of Science and Technology Wuhan Hubei430081 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Department of Electronics Information and System Engineering Hanyang University 425-791 Korea Republic of Department of Electronic Information Engineering College of Science and Engineering Yanbian University Yanji133002 China

ISBN: (纸本)9781617825583

Home automation systems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the location of static nodes to limit the search for a route to a small zone based on the analysis of characteristics and requirements. The calculation of two different kinds of zone and the route discovery procedure are described in this paper. According to the environment of home automation, we compared the performance of our routing protocols with the ad-hoc on-demand distance-vector protocol using simulation and gave suggestions for zone selection. Simulation results showed that our routing protocol dramatically reduced the routing overhead and increased the reliability.

关键词： Routing protocols

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Bioluminescence tomography based on Bayesian approach

Bioluminescence tomography based on Bayesian approach

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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Feng, Jinchao Jia, Kebin Tian, Jie Yan, Guorui Qin, Chenghu The College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation P. O. Box 2728 Beijing 100190 China Life Science Research Center Xidian University Xi'an 710071 China

ISBN: (纸本)9780819475138

As a new mode of molecular imaging, bioluminescence tomography (BLT) will have *** *** on revealing the molecular and cellular information in vivo at the whole-body small animal level because of its high sensitive detection and facile operation. However, BLT is an ill-posed problem, it is necessary to incorporate a priori knowledge into the tomographic algorithm. In this paper, a novel Bayesian reconstruction algorithm for BLT is firstly proposed. In the algorithm, a priori permissible source region strategy is incorporated into the Bayesian network to reduce the ill-posedness of BLT. Then a generalized adaptive Gaussian Markov random field (GAGMRF) prior model for unknown source density estimation is developed to further reduce the ill-posedness of BLT on the basis of adaptive finite element analysis. Finally, the algorithm maximizes the log posterior probability with respect to a noise parameter and the unknown source density, the distribution of bioluminescent source can be reconstructed. In addition, the novel tomography algorithm based adaptive finite element makes the method more appropriate for complex phantom such as real mouse. In the numerical simulation, a heterogeneous phantom is used to evaluate the performance of the proposed algorithm with the Monte Carlo based synthetic data. The accurate localization of bioluminescent source and quantitative results show the effectiveness and potential of the tomographic algorithm for BLT. © 2009 SPIE.

关键词： Monte Carlo methods

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Three-dimensional localization of in vivo bioluminescent source based on multispectral imaging

Three-dimensional localization of in vivo bioluminescent sou...

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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Feng, Jinchao Jia, Kebin Tian, Jie Yan, Guorui Zhu, Shouping The College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P.O. Box 2728 Beijing 100190 China Life Science Research Center Xidian University Xi'an 710071 China

ISBN: (纸本)9780819475138

Bioluminescence tomography (BLT) is a novel in vivo technique in small animal studies, which can reveal the molecular and cellular information at the whole-body small animal level. At present, there is an increasing interest in multispectral bioluminescence tomography, since multispectral data acquisition could improve the BLT performance significantly. In view to the ill-posedness of BLT problem, we develop an optimal permissible source region strategy to constrain the possible solution of the source by utilizing spectrum character of bioluminescent source. Then a linear system to link the measured data with the unknown light source variables is established by utilizing the optimal permissible region strategy based on adaptive finite element analysis. Furthermore, singular value decomposition analysis is used for data dimensionality reduction and improving computational efficiency in multispectral case. The reconstructed speed and stability benefit from adaptive finite element, the permissible region strategy and singular value decomposition. In the numerical simulation, the heterogeneous phantom experiment has been used to evaluate the performance of the proposed algorithm with the Monte Carlo based synthetic data. The reconstruction results demonstrate the merits and potential of our methodology for localizing bioluminescent source. © 2009 SPIE.

关键词： Singular value decomposition

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Meshless local Petrov-Galerkin method for bioluminescent photon propagation in the biological tissue

Meshless local Petrov-Galerkin method for bioluminescent pho...

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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Qin, Chenghu Tian, Jie Yang, Xin Liu, Kai Feng, Jinchao Xua, Min Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P. O. Box 2728 Beijing 100190 China Life Science Center Xidian University Xi'an Shaanxi 710071 China The College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9780819475138

As a promising optical molecular imaging modality, bioluminescence tomography (BLT) has attracted remarkable attention for its excellent performance and high cost-effectiveness, which can be employed to speciffically and directly reveal physiological and pathological activities in vivo at molecular and cellular levels. The goal of BLT is to reconstruct the internal bioluminescent light source with surface measurements. Therefore, the calculation of surface light exitance plays an important role in the inverse source reconstruction, whereas photon propagation is complicated because of strongly scattering property of the biological tissue. In this contribution, a novel meshless local Petrov-Galerkin (MLPG) method based on diffusion approximation model is developed to avoid the complex and time-consuming mesh division in the conventional finite element method (FEM), and MLPG requires only a series of discretized nodes without consideration of element information and node connectivity. Compared with other meshless methods based on global weak-form, background cells used for Gauss quadrature are also omitted in the proposed method. In addition, the tissue optical parameters are incorporated as a priori knowledge in this algorithm. Finally, the performance of this method is valuated using two- and three-dimensional numerical simulation experiments. The results demonstrate the effectiveness and feasibility of the presented algorithm to predict boundary bioluminescent light power distribution. © 2009 SPIE.

关键词： Finite element method

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Partial feedback control of quantum systems using probabilistic fuzzy estimator

Partial feedback control of quantum systems using probabilis...

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IEEE Conference on Decision and control

作者： Chunlin Chen Gerasimos G. Rigatos Daoyi Dong James Lam State Key Laboratory for Novel Software Technology Nanjing University China Unit of Industrial Automation Industrial Systems Institute Rion Greece State Key Laboratory of Industrial Control Technology Zhejiang University and the School of Engineering and Information Technology University of New South Wales Canberra ACT Australia Department of Mechanical Engineering University of Hong Kong Hong Kong China

ISBN: (纸本)9781424438716

A partial feedback control scheme with a probabilistic fuzzy estimator (PFE) is presented for the robust control of quantum systems. In this scheme, a probabilistic fuzzy simulator is trained to estimate the quantum states for feedback control of quantum systems. Usually, the estimated state is fed back to design a controller. However, when the estimated quantum state is an almost-eigenstate, a projective measurement will be triggered for the quantum system and the measurement results will be fed back to construct the controller and regulate the fuzzy estimator. This scheme is a partial feedback strategy with controlled discontinuous measurement, where the quantum measurement serves as a control tool and is helpful for driving the quantum system to a desired state tracking even in the presence of unknown disturbances and stochastic noises. An example of a two-spin-¿ system is also presented to demonstrate the proposed approach.

关键词： Feedback control Fuzzy control Fuzzy systems State estimation control systems Noise measurement Robust control State feedback Stochastic systems Stochastic resonance

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Routing Protocol for Wireless Sensor Networks in Home automation

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IFAC Proceedings Volumes 2009年第3期42卷 27-33页

作者： Xiao Hui Li Hong Qin Xu Seung Ho Hong Zhi Wang Xiang Fan Piao Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Education Wuhan University of Science and Technology Wuhan Hubei 430081 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China Department of Electronics Information and System Engineering Hanyang University 425-791 Korea Department of Electronic Information Engineering College of Science and Engineering Yanbian University Yanji 133002 China

关键词： Wireless Sensor/Actuator Networks Home automation Routing Protocol

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Particle Swarm Optimization in Solving Vehicle Routing Problem

Particle Swarm Optimization in Solving Vehicle Routing Probl...

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International Conference on Intelligent Computation technology and automation, ICICTA

作者： Hai Shen Yunlong Zhu Ting Liu Li Jin College of Physics Science and Technology Shenyang Normal University Shenyang China Key Laboratory of Industrial Informatics Shenyang Institute of Automation Chinese Academy and Sciences Shenyang China Key Laboratory of Industrial Informatics Shenyang Institute of Automation Chinese Academy and Sciences Beijing China Department of Automatic Control School of Information Science and Engineering Northeastern University Shenyang China Chinese Academy of Sciences Beijing Beijing CN

The vehicle routing problem (VRP) is a NP complete problem and is also a hot topic in the operational research. But traditional methods might suffer from slow convergence and the curse of large sizes, heuristics-based swarm intelligence can be an efficient alternative. Particle swarm optimization (PSO) is known to effectively solve engineering optimization problems. In this paper, the PSO in solving VRP is comprehensive surveyed from two basic aspects: the improved PSO algorithms and the particle encoding method. For each application, technical details that are required are all discussed. Finally, a summary is given together with suggestions for future research.

关键词： Particle swarm optimization Vehicles Routing automation Encoding Laboratories Computer industry industrial control Informatics Educational institutions

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Optimal Formation Reconfiguration control of Multiple UCAVs Using Improved Particle Swarm Optimization

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Journal of Bionic Engineering 2008年第4期5卷 340-347页

作者： Hai-bin Duan Guan-jun Ma De-lin Luo School of Automation Science and Electrical Engineering Beihang University Beijing 100191 P. R. China Provincial Key Laboratory for Information Processing Technology Suzhou University Suzhou 215006 P. R. China Center for Systems and Control Xiamen University Xiamen 361005 P. R. China

Optimal formation reconfiguration control of multiple Uninhabited Combat Air Vehicles （UCAVs） is a complicated global optimum problem. Particle Swarm Optimization （PSO） is a population based stochastic optimization technique inspired by social behaviour of bird flocking or fish schooling. PSO can achieve better results in a faster, cheaper way compared with other bio-inspired computational methods, and there are few parameters to adjust in PSO. In this paper, we propose an improved PSO model for solving the optimal formation reconfiguration control problem for multiple UCAVs. Firstly, the control Parameterization and Time Diseretization （CPTD） method is designed in detail. Then, the mutation strategy and a special mutation-escape operator are adopted in the improved PSO model to make particles explore the search space more efficiently. The proposed strategy can produce a large speed value dynamically according to the variation of the speed, which makes the algorithm explore the local and global minima thoroughly at the same time. Series experimental results demonstrate the feasibility and effectiveness of the proposed method in solving the optimal formation reconfiguration control problem for multiple UCAVs.

关键词： uninhabited combat air vehicles particle swarm optimization control parameterization and time discretization optimal formation reeonfiguration

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Multi-UCAVs task assignment simulation platform based on parallel ant colony optimization

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Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica 2008年第SUPPL.期29卷 192-197页

作者： Duan, Haibin Ding, Quanxin Chang, Junjie Liu, Senqi School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100083 China Provincial Key Laboratory for Information Processing Technology Suzhou University Suzhou 215006 China Key Laboratory of National Defense Science and Technology on Fire Control Technology Luoyang Electro-Optical Equipment Research Institute AVIC I Luoyang 471009 China

Multiple unmanned combat aerial vehicles (UCAVs) coordinated combat is the main mode to put UCAVs into the battle, while multiple UCAVs task assignment is the key problem of multiple UCAVs coordinated combat. There have recently been some reports on approaches to multiple UCAVs task assignment. But these approaches have some disadvantages, such as being complex on computing, long computing time and so on. In order to overcome the shortages of these approaches, a novel method based on improved ant colony optimization (ACO) is proposed in this paper. Firstly, various air combat predominance functions are deduced, and the comprehensive situation assessment function is built. On the introduction of basic ACO principle and mathematical model, a parallel ACO model is proposed to solve the multiple UCAVs target assignment problem. Subsequently, the parallel ACO pseudo-codes are given in detail. Finally, a multiple UCAVs task assignment simulation platform based on parallel ACO is developed. This platform takes MATLAB graphical user interface (GUI) as the developing tool. Exact applications show that this simulation platform is efficient, easy to use and modify.

关键词： Unmanned aerial vehicles (UAV)

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New Delay-dependent Absolute Stability Criteria for Lurie control Systems

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自动化学报 2008年第10期34卷 1275-1280页

作者： GAO Jin-Feng SU Hong-Ye JI Xiao-Fu CHU Jian Institute of Automation Zhejiang Sei-Teeh University Hangzhou 310018 P.R. China State Key Laboratory of Industrial Control Technology Institute of Advanced Process Control Zhejiang Uni- versity Yuquan Campus Hangzhou 310027 P. R. China School of Electrical and Information Engineering Jiangsu University Zhen- jiang 212013 P. R. China

这笔记为时间延期 Lurie 控制系统涉及绝对稳定性分析，非线性在一个无限的扇区和有限扇区定位了。由使用新 Lyapunov-Krasovskii 功能那把整个延期间隔切成二个子区间并且在每个子区间和介绍一些上定义不同精力功能免费重量的矩阵，某... 详细信息

这笔记为时间延期 Lurie 控制系统涉及绝对稳定性分析，非线性在一个无限的扇区和有限扇区定位了。由使用新 Lyapunov-Krasovskii 功能那把整个延期间隔切成二个子区间并且在每个子区间和介绍一些上定义不同精力功能免费重量的矩阵，某新延期依赖者要用体力地绝对的稳定性标准以严格的线性矩阵不平等(LMI ) 被介绍。获得的延期依赖者标准不比以前的保守，作为被数字例子说明。

关键词：时间延迟稳定性自动化系统 Lurie控制系统

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