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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： János Nacsa Imre Paniti Sándor Kopácsi CIM Laboratory MTA SZTAKI Institute for Computer Science and Control Hungarian Academy of Sciences (ATOMKI) Budapest Hungary MTA SZTAKI Department of MOGI Mechatronics Optics and Engineering Informatics Budapest University슠of슠Technology슠and슠Economics Hungary MTA SZTAKI Dennis Gabor College Hungary

Incremental Sheet Forming is an advanced manufacturing technology in the recent years. In a lot of cases the process requires the synchronized cooperation of two machines. The complex operation was modelled in a virtual environment, where the cyber objects were deeply connected with the real objects. The result of this virtual cooperation resulted some cognitive observation that is also published in this paper.

关键词： Robots Materials Three dimensional displays Solid modeling Google Virtual environments Milling machines

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A hybrid algorithm for restructuring Distributed Object-oriented software

A hybrid algorithm for restructuring Distributed Object-orie...

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作者： Faheem, Mohamed T. Ammar, Reda A. Sallam, Al Sayed A.H. Sarhan, Amany M. Ragab, Hebat-Allah M. Computer and Control Department Faculty of Engineering Tanta University Egypt Computer Science and Engineering Department School of Engineering University of Connecticut United States

ISBN: (纸本)9781424499908

Distributed Object-oriented software has been used in a large number of applications for solving complex problems in different scientific fields like: machine learning, data mining, pattern recognition, image analysis and bioinformatics. However, we need to collect objects into groups such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups. This collection is called cluster analysis or clustering. Each cluster will be assigned to different computer to minimize communication among objects and speedup the execution of tasks. There have been several clustering techniques applied to objects. In this paper, we introduce three algorithms for clustering objects into present numbers of clusters to match the target hardware (i.e. software restructuring). These algorithms, through simulation results, achieve better performance than the existing algorithms as they generate more accurate clusters in less time. © 2011 IEEE.

关键词： Pattern recognition

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Modeling and control of a sorption process using 2D systems theory

Modeling and control of a sorption process using 2D systems ...

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International Workshop on Multidimensional (nD) Systems

作者： Michael Dymkov Krzysztof Galkowski Eric Rogers Vitali Dymkou Siarhei Dymkou Department of Mathematics Belarus State Economic University Minsk Belarus University of Wuppertal Germany Institute of Control and Computation Engineering University of Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK Department of Business Process Analysis and Design JSC BelaGrouprombank Minsk Belarus Temasek Laboratories National University of Singapore Singapore

This paper introduces a model for the dynamics of a sorption process from the industrial water supply and sewage treatment industries that is a continuous version of the Roesser state-space model for 2D discrete systems. Conditions for unique solvability and the representation formula are then developed together with the solution of an optimization problem using boundary control. The solution of this optimization problem by state feedback is also developed.

关键词： Mathematical model Optimization Educational institutions Optimal control Integral equations Process control Equations

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Mean-field Theory for Some Bus Transport Networks with Random Overlapping Clique Structure

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Communications in Theoretical Physics 2010年第4期53卷 688-692页

作者：杨旭华孙豹王波孙优贤 College of Information Engineering Zhejiang University of Technology State Key Laboratory of Industrial Control Technology Zhejiang University Department of Computer Science and Engineering Yiwu Industrial and Commercial College

Transport networks, such as railway networks and airport networks, are a kind of random network with complex topology. Recently, more and more scholars paid attention to various kinds of transport networks and try to explore their inherent characteristics. Here we study the exponential properties of a recently introduced Bus Transport Networks （BTNs） evolution model with random overlapping clique structure, which gives a possible explanation for the observed exponential distribution of the connectivities of some BTNs of three major cities in China. Applying mean-field theory, we analyze the BTNs model and prove that this model has the character of exponential distribution of the connectivities, and develop a method to predict the growth dynamics of the individual vertices, and use this to calculate analytically the connectivity distribution and the exponents. By comparing mean-field based theoretic results with the statistical data of real BTNs, we observe that, as a whole, both of their data show similar character of exponential distribution of the connectivities, and their exponents have same order of magnitude, which show the availability of the analytical result of this paper.

关键词： mean-field theory bus transport network evolution model exponential distribution

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Fuzzy c-means clustering based on spatial neighborhood information for image segmentation

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Journal of Systems engineering and Electronics 2010年第2期21卷 323-328页

作者： Yanling Li Yi Shen Institute of Systems Engineering Department of Control Science and EngineeringHuazhong University of Science and Technology Wuhan 430074 P. R. China College of Computer and Information Technology Xinyang Normal University Xinyang 464000 P. R. China

Fuzzy c-means （FCM） algorithm is one of the most popular methods for image segmentation. However, the standard FCM algorithm is sensitive to noise because of not taking into account the spatial information in the image. An improved FCM algorithm is proposed to improve the antinoise performance of FCM algorithm. The new algorithm is formulated by incorporating the spatial neighborhood information into the membership function for clustering. The distribution statistics of the neighborhood pixels and the prior probability are used to form a new membership func- tion. It is not only effective to remove the noise spots but also can reduce the misclassified pixels. Experimental results indicate that the proposed algorithm is more accurate and robust to noise than the standard FCM algorithm.

关键词： image segmentation fuzzy c-means spatial informa- tion. robust.

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An application of fractional intelligent robust controller for electromechanical valve

An application of fractional intelligent robust controller f...

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World Congress on Information and Communication Technologies (WICT)

作者： Tribeni Prasad Banerjee Suman Saha Swagatam Das Ajith Abraham Department of Electronics and Telecommunication Engineering Jadavpur University Kolkata India Drives and Control System Laboratory CSIR-Central Mechanical Engineering Research Institute Durgapur West Bengal India IT For Innovations EU Center of excellence Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Czech Republic Scientific Network for Innovation and Research Excellence Machine Intelligence Research Laboratories-MIR Laboratories WA USA

The paper analyzed and model of a fault tolerant electromechanical controlled worm gear driven fuel shut off valve for aerospace application. The analysis is mainly on design a reduced order fractional controller. This is for controlling the velocity of worm gear so that the friction torque due to uneven rotational speed can be avoided. Because with the friction and stiction and backlash the valve system performance is reduced and more and more unstable this leads the system to failure. The proposed controller can provide robustness against the uncertain loading torque and system parameter.

关键词： Valves Gears Equations control systems Robustness Mathematical model Torque

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Robust L_(2) - L_(infinity) Consensus control of the Second-order Multi-agent Systems with Time-delay

Robust L_(2) - L_(infinity) Consensus Control of the Second-...

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IEEE Conference on Decision and control

作者： Yan Cui Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

Robust L_(2) - L_(infinity) consensus control is studied for the second-order multi-agent systems with external disturbances and parameter uncertainties. By defining an appropriate controlled output, the consensus problem of the systems is transformed into a normal L_(2) - L_(infinity) control problem, and distributed state feedback protocols with time-delay are proposed. Sufficient conditions are established for the convergence to consensus of the network under fixed or switching topology. Numerical simulations are provided to demonstrate the effectiveness of our theoretical results.

关键词： Topology Europe

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Two alternative approaches to stochastic discrete-time iterative learning control systems

Two alternative approaches to stochastic discrete-time itera...

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IEEE Conference on Decision and control

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

This paper aims to address the robust convergence problem that arises from discrete-time iterative learning control (ILC) systems subject to random disturbances. Two alternative approaches are considered in order to achieve the perfect output tracking of the stochastic discrete-time ILC systems in the sense of both expectation and variance, which use the tracking error and the input error for analysis, respectively. It is shown that the convergence results of two approaches to ILC can be established by developing some statistical expressions in super-vector forms. Moreover, it is demonstrated that the convergence results of two approaches to ILC are not always equal, and they can keep the same only in the case where the controlled plants are square.

关键词： Iterative learning control discrete-time systems random disturbances

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Column Formation control of Multi-robot Systems with Input Constraints

Column Formation Control of Multi-robot Systems with Input C...

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IEEE Conference on Decision and control

作者： Xiaohan Chen Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

This paper is concerned with the column formation control of multi-robot systems that are subject to input constraints. A new leader-follower setup is proposed, under which the Lyapunov method can provide a simple controller in terms of two feedback parameters. It is shown that using an elliptic approximation to input constraints, the two feedback parameters can be obtained directly with a geometric analysis method. Moreover, a sufficient condition is presented for the leader robot to guarantee that the desired column formation can be achieved, with which a particular controller is designed by selecting two appropriate functions for the feedback parameters. Simulation results are included to verify the effectiveness of the proposed theoretical results.

关键词： Column formation control multi-robot systems leader-follower input constraints elliptic approximation

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Collision Avoidance Maneuver Design Based on Equidistance Interpolation

Collision Avoidance Maneuver Design Based on Equidistance In...

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IEEE Conference on Decision and control

作者： Yongqiang Qi Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781612848006

This paper deals with the active collision avoidance maneuver for the chaser along the specified trajectory, and presents a maneuver approach with constant thrust. Using the 3D stereo vision measurement, The relative position parameters of the target spacecraft for analyzing the collision possibility are obtained by using the vision measurement and the target maneuver positions are calculated through the equidistance interpolation method. The working times of thrusters in three axes can be respectively computed by the time series analysis method. In particular, the perturbation and fuel consumption are addressed during the computation of working time. Furthermore, the acceleration sequences and the corresponding working time series can be employed to determine a switching control law for the active collision avoidance maneuver. The simulation results show that the switch control law can effectively guarantee the chaser moving along the specified trajectory.

关键词： Constant thrust Vision measurement Switch control law The specified trajectory Equidistance interpolation

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