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2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Chen, Xi Zhang, Lan Li, Wei Institute of System Engineering Huazhong University of Science and Technology Image Processing Ministry of China Wuhan Hubei 430074 China Department of Control Science and Engineering Image Processing and Intelligent Control Key Laboratory Education Ministry of China China

ISBN: (纸本)9780956715715

Synchronization and pinning control of complex networks is to regulate the agents' behavior and improve network performance. In this article, we review some recent developments in pinning control. Stability algorithms and pining strategies in different types of complex networks are presented and compared. Adaptive pinning control is also summarized. In addition, the research extended to discrete-time case is reviewed. As some related research, the development in consensus and flocking of multi-agent system are introduced briefly. At last, we give some ideas about pinning control in social networks. © 2012 Huazhong Univ of Sci & Tec.

关键词： Complex networks

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Probabilistic model based image retrieval using hypothesis testing

Probabilistic model based image retrieval using hypothesis t...

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International Conference on Information Engineering and Applications, IEA 2011

作者： Li, Bo Liu, Guoping School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing China Advanced Control and Network Technology Research Unit University of Glamorgan Glamorgan United Kingdom

ISBN: (纸本)9781447123859

The content based image retrieval (CBIR) is aimed to find the most similar images from a collection of images or a database to the query image according to the visual or semantic similarity. Current image retrieval algorithms mainly focus on feature selection and learning distance metric. Other methods are also proposed to promote the performance such as relevance feedback. But as a whole their performance still can not reach the expectation for application. This paper presents a new framework for image retrieval by introducing the hypothesis testing heory. The rest of this paper is organized as follows: Section II introduces the motivation of the proposed approach and the hypothesis testing problem in image retrieval. Section III is the main part of the paper and in this section the concepts of background model, image model, test ratio and feature extraction that compose the framework are introduced and discussed. Section IV shows the relevant experimental results of the algorithm. © 2012 Springer-Verlag London Limited.

关键词： Semantics

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Kinematics analysis and trajectory planning of a multiarm medical robot assisted maxillofacial surgery

Kinematics analysis and trajectory planning of a multiarm me...

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6th International Conference on Complex Medical Engineering, CME 2012

作者： Chen, Chao Duan, Xing-Guang Wang, Xing-Tao Zhu, Xiang-Yu Li, Meng Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System School of Mechatronical Engineering Beijing Institute of Technology #5Zhongguancun South Street Haidian Beijing China China

ISBN: (纸本)9781467316163

As the complex anatomical structure of the maxillofacial region, the surgery in this area is high risk and difficult to implement. Then, a multi-arm medical robot assisted maxillofacial surgery using optical navigation was proposed in this paper, which can improve surgical precision and make the doctors away from the heavy manual work. In this paper, the medical robot system and mechanical structure of the robot were introduced. Forward kinematics and inverse kinematics were analysed. Then trajectory planning using quintic polynomial interpolation for smoothly motion was adopted, and rectilinear motion in Cartesian space was adopted. The kinematics was validated and the workspace of the robot was calculated by simulations. Finally, the robot model was established and an experiment was carried out which proved the robot run smoothly and positioned accurately. © 2012 IEEE.

关键词： Inverse kinematics

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Design of intelligent coal mine roof online monitoring system based on CAN bus

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Advances in Information Sciences and Service Sciences 2012年第21期4卷 540-547页

作者： Gao, Yan Jin, Baoquan College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan 030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan 030024 China

The design of intelligent multi-parameter real-time monitoring system for the security of coal mine roof is introduced aiming at the status of monitoring system for mine roadway roof safety and supporting. Using advanced field-bus CAN technology and Ethernet fiber transmission technology can not only display the measurement data on-site and alarm, but also transmit the measured data through the monitor network of mine to the main monitoring station on the ground and the remote monitoring center for analysis and processing, so that the monitor in command center on the ground can real-time and remotely monitoring the security status on the roof. The actual application showed that the system had the capability of high communication speed, long transmission distance, anti-electromagnetic interference, reliable transmission, and high real-time. The system can play an active role in early warning to avoid the occurrence of coal mine roof disasters.

关键词： Coal mines

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Three-dimensional deployment optimization of sensor network based on an improved Particle Swarm Optimization algorithm

Three-dimensional deployment optimization of sensor network ...

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World Congress on intelligent control and Automation (WCICA)

作者： Xiao-yan Lian Juan Zhang Chen Chen Fang Deng Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing China

Compared with the traditional two-dimensional (2D) deployment form, three-dimensional (3D) deployment of sensor network has greater research significance and practical potential to satisfy the detecting needs of targets with complex properties. In this paper, a method for 3D deployment optimization of sensor network based on an improved Particle Swarm Optimization (PSO) algorithm is proposed. Many factors such as coverage scale, detection probability and resource utilization are synthetically considered to optimize the sensor network's overall detection performance. To evaluate the network's performance, four indexes are presented and the 3D deployment space is divided into different height levels. Accordingly, the mathematical model is formulated by weighting the performance indexes and height levels due to their importance degrees. In order to solve the optimization problem, an algorithm called WCPSO is carried out, which has a dynamic inertia weight and adaptable acceleration constants. Verified by the simulation results, the presented 3D deployment optimization method effectively improves the sensor network's detection performance. The method in this paper can provide guidance and technical reference in future application of relevant research.

关键词： Optimization Indexes Mathematical model Acceleration Algorithm design and analysis Resource management Performance analysis

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Asynchronous extended spiking neural P systems with astrocytes

Asynchronous extended spiking neural P systems with astrocyt...

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12th International Conference on Membrane Computing, CMC 2011

作者： Pan, Linqiang Wang, Jun Hoogeboom, Hendrik Jan Image Processing and Intelligent Control Key Laboratory of Education Ministry Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China Leiden Institute of Advanced Computer Science Universiteit Leiden Niels Bohrweg 1 2333 CA Leiden Netherlands

ISBN: (纸本)9783642280238

A variant of spiking neural P systems was recently investigated by the authors, using astrocytes that have excitatory and inhibitory influence on synapses. In this work, we consider this system in the non-synchronized (i.e., asynchronous) mode: in any step, when a neuron is enabled, it is not obligatorily fired, making a global clock dispensable. It is proved that asynchronous spiking neural P systems with astrocytes are universal (when using extended rules). The construction is uniform in the sense that the form of the modules used is independent of the simulated register machine. © 2012 Springer-Verlag.

关键词： Artificial intelligence

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Decentralized Valley-fill Charging control of Large-population Plug-in Electric Vehicles

Decentralized Valley-fill Charging Control of Large-populati...

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The 24th Chinese control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Zhongjing Ma School of Automation Beijing Institute of Technology (BIT) and the Key Laboratory of Complex System Intelligent Control and Decision (BIT) Ministry of Education

Optimal charging control of large-population autonomous plug-in electric vehicles (PEVs) in power grid can be formulated as a class of constrained non-linear timevariant optimization problems. To overcome the computational complexity of this class of optimization problems, the author and his collaborators proposed a game-based decentralized control method such that individual agents update their best charging strategies simultaneously with respect to a common electricity price signal which is determined by the total demand in the grid. Due to the heterogeneity of individual PEVs, the game systems converge to a nearly valley-fill NE strategy with nontrivial deviation costs due to the heterogeneity property of individual PEV charging characteristics. In this paper the author proposed a novel algorithm to implement the optimal decentralized valley fill strategies for the charging problems of the PEV population which is composed of disjoint homogeneous subpopulations. The author introduces a cost which penalizes against the deviation of strategy of individual agent in a subpopulation from the average value of the subpopulation. It can be shown that in case that the update algorithm converges, the system reaches the optimal valley-fill equilibrium strategy where the introduced agent deviation cost vanishes. Simulation examples are used to illustrate the results developed in this paper.

关键词： Decentralized charging control Plug-in electric vehicles (PEVs) Valley-fill (VF) Nash equilibrium (NE)

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Image mosaicing algorithm for dynamic scenes using multi-scaled PHOG feature and optimal seam

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Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 2012年第4期25卷 624-631页

作者： Zou, Li-Hui Chen, Jie Zhang, Juan Lu, Jing-Hua Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education School of Automation Beijing Institute of Technology Beijing 100081 China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 China

Aiming at the problems of registration error and synthetic movement ghost which are caused by moving objects in image mosaicing, a mosaicing algorithm for dynamic scene using multi-scale pyramid histogram of oriented gradients (PHOG) and optimal seam is proposed. Firstly, a new feature, multi-scaled PHOG, is generated by introducing PHOG to multi-scale space corner detections. The feature is used to align images for avoiding the local impact caused by moving objects in image registration. Then, an optimal seam, guaranteeing the minimum difference in geometry and gray value, is searched by graph cut algorithm through constructing an energy function to remove the movement ghost. The experimental results show that the proposed algorithm is efficient in dealing with the problems of image mosaicing with moving objects, and the mosaicing results are satisfactory with high precision.

关键词： Graphic methods

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Dynamic model based optimization control for combustion process of coke oven

Dynamic model based optimization control for combustion proc...

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31st Chinese control Conference, CCC 2012

作者： Lei, Qi Wu, Min Yu, Li Jing School of Information Science and Engineering Central South University Changsha 410083 China Hunan Engineering Laboratory for Advanced Control and Intelligent Automation Changsha 410083 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China

ISBN: (纸本)9789881563811

In view of large range change of operating status of combustion process and difficulties in building global model and timely optimizing control parameters, this paper presents dynamic model based optimization control method using the property that just-in-time learning model can rapidly reflect process change characteristics. Based on the idea of local modeling, distance and change trend angle between samples are both considered to choose data and create an online sample library. With this dynamic sample library, a dynamic model for combustion process of coke oven is build. And based on the dynamic process model, the differential evolution algorithm is applied to optimization the universe parameters of fuzzy control to ensure the controller can meet the dynamic changes of the combustion process of coke oven. Simulations verified the effectiveness of the method. © 2012 Chinese Assoc of Automati.

关键词： Evolutionary algorithms

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Design of networked air defense fire control simulation system based on BOM

Design of networked air defense fire control simulation syst...

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World Congress on intelligent control and Automation (WCICA)

作者： Shi-jun Chen Juan Zhang Chen Chen Beijing Institute of Technology Beijing Beijing CN Key Laboratory of Complex System Intelligent Control and Decision (Beijing Institute of Technology) Ministry of Education Beijing China

Networked air defense fire control simulation system featured with complicated interactions, varied system structure etc, and is usually faced with some difficulties in its development, such as the low capability of model reuse, the lack of regulations for model development and inflexible modification of federation. To overcome the difficulties, a framework in hierarchy of networked air defense fire control simulation system is constructed according to BOM development standard, and the component method for designing the basic model, compound model and federate is proposed, which effectively improved the efficiency of system development and the capability of model reuse. This method is not only applicable to the design of networked air defense fire control system, but also to the design of other simulation system with polytropic structure.

关键词： Atmospheric modeling Bills of materials Object oriented modeling Fires Analytical models Compounds Computational modeling

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