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Balance Properties and Stabilization of Min-Max systems

International Journal of Automation and computing 2006年第1期3卷 76-83页

作者： Yue-Gang Tao Wen-De Chen Yi-Xin Yin Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 PRC Laboratory of Systems and Control Academy of Mathematics and System Sciences Chinese Academy of Sciences Beijing 100080 PRC School of Information Engineering University of Science and Technology Beijing Beijing 100083 PRC

A variety of problems in operations research, performance analysis, manufacturing, and communication networks, etc., can be modelled as discrete event systems with minimum and maximum constraints. When such systems require only maximum constraints （or dually, only minimum constraints）, they can be studied using linear methods based on max-plus algebra. systems with mixed constraints are called min-max systems in which rain, max and addition operations appear simultaneously. A significant amount of work on such systems can be seen in literature. In this paper we provide some new results with regard to the balance problem of min-max functions; these are the structure properties of min-max systems. We use these results in the structural stabilization. Our main results are two sufficient conditions for the balance and one sufficient condition for the structural stabilization. The block technique is used to analyse the structure of the systems. The proposed methods, based on directed graph and max-plus algebra are constructive in nature. We provide several examples to demonstrate how the methods work in practice.

关键词： Balance fixed point min-max systems output feedback structural stabilization.

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Self-organized criticality and scale-free properties in emergent functional neural networks

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Physical Review E 2006年第4期74卷 045101(R)-045101(R)页

作者： Chang-Woo Shin Seunghwan Kim []Asia Pacific Center for Theoretical Physics National Core Research Center for System Biodynamics and Nonlinear and Complex Systems Laboratory Department of Physics Pohang University of Science and Technology San 31 Hyoja-dong Nam-gu Pohang Gyungbuk Korea 790-784

Recent studies on complex systems have shown that the synchronization of oscillators, including neuronal ones, is faster, stronger, and more efficient in small-world networks than in regular or random networks. We show that the functional structures in the brain can be self-organized to both small-world and scale-free networks by synaptic reorganization via spike timing dependent synaptic plasticity instead of conventional Hebbian learning rules. We show that the balance between the excitatory and the inhibitory synaptic inputs is critical in the formation of the functional structure, which is found to lie in a self-organized critical state.

关键词： SYNAPTIC PLASTICITY complex NETWORKS

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Using Accelerator Feedback to Improve Performance of Integral-Controller Particle Swarm Optimization

Using Accelerator Feedback to Improve Performance of Integra...

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049

ISBN: (纸本)9781424404759

Integral-controller particle swarm optimization (ICPSO), influenced by inertia weight w and coefficient ψ is a new swarm technology by adding accelerator information. Based on stability analysis, the convergence conditions imply the negative selection principles of inertia weight w, and the relationship between w and ψ. To improve the computational efficiency, an adaptive strategy for tuning the parameters of ICPSO is described using a new statistical variable reflecting computational efficiency index-average accelerator information. The optimization computing of some examples is made to show that the ICPSO has better global search capacity and rapid convergence speed.

关键词： Particle swarm optimization Average Accelerator Information Integral-controller

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On dynamic generation of business protocol in autonomous Web services

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systems and Computers in Japan 2006年第2期37卷 37-45页

作者： Oya, Makoto Kinoshita, Masahiro Kakazu, Yukinori Graduate School of Information Science and Technology Hokkaido University Sapporo 060-0814 Japan Department of Information Design Faculty of Engineering Hokkaido Institute of Technology Sapporo 006-8585 Japan Department of Information Science Shonan Institute of Technology Fujisawa 251-8511 Japan Open System Engineering Laboratory Division of Synergetic Information Science Graduate School of Information Science and Technology Information Processing Society of Japan IEICE Japan Society of Precision Engineering ACM Department of Information Design Hokkaido Institute of Technology Japan Society of Mechanical Engineers Complex System Engineering Laboratory Division of Synergetic Information Science Graduate School of Information Science and Technology Robotics Society of Japan

One of the issues of autonomous Web services is that precise business protocols across systems are not always predefined. A likely solution to this problem is to dynamically generate business protocols by matching external interface definitions and relating information exposed by each system. The current Web services have a feature called a portType that describes an external interface of a system. This paper proposes to add a new concept called "behavior pattern" to the portType, then provides an algorithm to dynamically generate business protocols. The algorithm compares the portTypes of the concerned system and the opposite system, verifies the possibility of their interaction, and automatically reduces the behavior patterns within executable range. The paper also evaluates this algorithm by applying it to some use cases and shows that the method provides useful early results for realization of autonomous Web services. © 2006 Wiley Periodicals, Inc.

关键词： World Wide Web

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Predicted Particle Swarm Optimization

Predicted Particle Swarm Optimization

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an. 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an. 710049

ISBN: (纸本)1424404754;9781424404759

The standard particle swarm optimization (PSO) may prematurely converge on suboptimal solution partly because of the insufficiency information utilization of the velocity. The time cost by velocity is longer than position of each particle of the swarm, though the velocity, limited by the constant Vmax, onfy provides the positional displacement To avoid premature convergence, a new modified PSO, predicted PSO, is proposed owning two different swarms in which the velocity without limitation, considered as a predictor, is used to explore the search space besides providing the displacement while the position considered as a corrector. The algorithm gives some balance between global and local search capability. The optimization computing of some examples is made to show the new algorithm has better global search capacity and rapid convergence rate.

关键词： Particle swarm optimization Predicted velocity Exploration capability Exploitation capability

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Effective method on modeling for fermentation process

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Beijing Gongye Daxue Xuebao / Journal of Beijing University of technology 2006年第5期32卷 405-409页

作者： Gao, Xue-Jin Wang, Pu Sun, Chong-Zheng Yi, Jian-Qiang Zhang, Ya-Ting Zhang, Hui-Qing College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Key Laboratory of Complex System and Intelligence Science Chinese Academy of Sciences Beijing 100033 China

On the basis of the standard SVM for regression, the dynamic Ε-SVM method was proposed to establish precise mathematical models to describe the behavior of biochemistry systems, namely each training sample used different error. At the same time, an improved multi-objective Genetic Algorithm (MOGA) was used to automatically select the dynamic Ε-SVM parameters. A new modeling method that combined improved MOGA with dynamic Ε-SVM regression was presented. The model for titer pre-estimate was developed in Matlab6.5 with data collected from real plant. The model possessed the strong capability of fitting and generalization. It is shown that the method achieves significant improvement in the generalization performance in comparison with the modeling method based on MOGA and the standard SVM.

关键词： Fermentation

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Bona fide stochastic resonance and multimodality in the stochastic Hodgkin-Huxley neuron

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Physical Review E 2005年第6期72卷 061906-061906页

作者： Sang-Gui Lee Seunghwan Kim AsiaPacific Center for Theoretical Physics National Core Research Center on System BioDynamics and Nonlinear and Complex Systems Laboratory Department of Physics Pohang University of Science and Technology San 31 Hyojadong Pohang Korea 790-784

The phenomena of stochastic resonance (SR) has attracted much attention in the studies of the excitable systems, in particular, the nervous systems under noise. Recently, an alternative SR condition, called the bona fide SR, was proposed for the bistable system under noise, based on the notion of the residence time distribution. As the forcing frequency increases, there exists an optimal resonant frequency. We study the SR in a stochastic Hodgkin-Huxley neuron, which has an inherent natural frequency in addition to the stochastic time scale. We have observed two resonant conditions; one between periodic forcing and natural frequencies, and the other between the periodic forcing and the stochastic frequencies. These resonance conditions show the bona fide stochastic resonance with multimodality. For comparison, we have studied the bona fide SR in the stochastic FitzHugh-Nagumo neuron, where, the multimodality is not observed. The differences in the resonance structure of two neuron models are understood in terms of differences in the phase portraits.

关键词： COHERENCE RESONANCE EXCITABLE system NOISE

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An improved focus measure for MEMS assembly

An improved focus measure for MEMS assembly

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IEEE International Conference on Mechatronics and Automation

作者： Zemin Jiang De Xu Min Tan Hui Xie Key laboratory of Complex System and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Robot Institute Harbin Institute of Technology Harbin Heilongjiang China

In this paper, the micromanipulation system for the MEMS assembly is constructed. An improved focus measure and clamping strategy are proposed for the assembly of the MEMS. The focus measure is used to focusing the miniaturized gear and clamp images, and the clamping strategy is used to obtain the miniaturized gear Z-directional information between the gear and clam and assemble the planetary gears. Experiments show the good performance of the algorithm and strategy.

关键词： Micromechanical devices Focusing Gears Robotic assembly Microscopy Extraterrestrial measurements Clamps Lenses Apertures Frequency

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Comparisons and discussion of three typical robot path planning approaches

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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (science and technology) 2005年第SUPPL.期36卷 315-319页

作者： Wang, Qi-Zhi Wang, Hong-Zhi School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China Laboratory of Complex System and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 10080 China Laboratory of Intelligent Technology and Systems Tsinghua University Beijing 100084 China Shenyang Coking and Coal Gas Limited Company Shenyang 110026 China

Three typical path planning methods, i.e. artificial potential field, probabilistic path planning and biologically inspired neural network, were introduced. The analysis and comparisons were made in relating to genera... 详细信息

关键词： Artificial potential fields Biologically inspired neural network Obstacle avoidance Probabilistic path planning Robot path planning

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Fast two-bit operations in inductively coupled flux qubits

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Physical Review B 2005年第2期71卷 024532-024532页

作者： J. Q. You Y. Nakamura Franco Nori Frontier Research System The Institute of Physical and Chemical Research (RIKEN) Wako-shi 351-0198 Japan Department of Physics and National Laboratory for Surface Physics Fudan University Shanghai 200433 China NEC Fundamental and Environmental Research Laboratories Tsukuba Ibaraki 305-8051 Japan CREST Japan Science and Technology Agency (JST) Kawaguchi Saitama 332-0012 Japan Center for Theoretical Physics Physics Department Center for the Study of Complex Systems University of Michigan Ann Arbor Michigan 48109-1120 USA

A central problem for implementing efficient quantum computing is how to realize fast operations (both one- and two-bit ones). However, this is difficult to achieve for a collection of qubits, especially for those separated far away, because the interbit coupling is usually much weaker than the intrabit coupling. Here we present an experimentally feasible method to effectively couple two flux qubits via a common inductance and treat both single and coupled flux qubits with more realistic models, which include the loop inductance. The main advantage of our proposal is that a strong interbit coupling can be achieved using a small inductance, so that two-bit as fast as one-bit operations can be easily realized. We also show the flux dependence of the transitions between states for the coupled flux qubits.

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