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International Journal of Innovative Computing and Applications 2009年第2期2卷 78-85页

作者： Cui, Zhihua Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No. 6 Kexueyuan South Rd. Zhongguancun Haidian District Beijing 100190 China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology No. 66 Waliu Rd. Wanbailin District Taiyuan Shanxi 030024 China

Particle swarm optimisation (PSO) is a novel population-based stochastic optimisation algorithm inspired by the Reynolds' boid model. The original biological background of boid obeys three basic simple steering rules: separation, alignment and cohesion. However, to promote a simple update equation, none of these rules of boid model is employed by PSO methodology. Due to the weakness of biological background of PSO, in this paper, a new variant of PSO, boid particle swarm optimisation (BPSO), is designed in which cohesion rule and alignment rule are both employed to improve the performance. In BPSO, each particle has two motions: divergent motion and convergent motion. For divergent motion, each particle adjusts its moving direction according to the alignment direction and the cohesion direction, as well as in convergent motion, the original update equation of the standard version of PSO is used. To make a motion transition, a threshold is introduced to make the divergent motion is employed in the first period, whereas the convergent motion is used in the final stage. To testify the efficiency, several unconstrained benchmarks are used to compare. Simulation results show the proposed variant is more effective and efficient than other two variants of PSO when solving multi-modal high-dimensional numerical problems. Copyright © 2009 Inderscience Enterprises Ltd.

关键词： Alignment

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Variable structure controller based on extended state observer in gun turret system

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Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2009年第4期29卷 318-322页

作者： Chen, Jie Jin, Tian-Xu Bai, Yong-Qiang Department of Automatic Control School of Information and Science Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education Beijing Institute of Technology Beijing 100081 China

Considering the characteristics of the servo system, such as disturbance, nonlinearity and high inertia, variable structure controller (VSC) based on extended state observers (ESO) are designed for the aim of quick, stable and high-accuracy controlling processes. The disturbances and high-order factors are estimated and compensated using ESO. Dynamic compensation reduces the motion system to approximately a triple integrator which can be easily controlled using VSC. Because ESO provides a high-frequency path for the dynamic state not modelled, the chatter of VSC is reduced. Through tests in the gun turret system, it was shown that this controller is superior to the engineering PID and general VSC.

关键词： Variable structure control

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Fast classification strategy for large class sets

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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2008年第4期45卷 588-595页

作者： Xu, Lei Xiao, Baihua Dai, Ruwei Wang, Chunheng Laboratory of Complex System and Intelligent Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China

Proposed in this paper is a fast multi-stage classification strategy for large class sets, such as handwriting Chinese character recognition. The key issue for multi-stage classification is how to select the candidate subset for fine classification, so a group-based candidate selection rule is provided. The whole class set is first divided into several groups by clustering algorithms. Then, the nearest neighbors of each class are added to the same group and consequently the adjacent groups overlap each other. As a result, for any unlabeled sample, its confusing classes will be totally included in its nearest group. Under this circumstance, the nearest group of any unlabeled sample can be taken as the candidate set. Because the number of the groups is definite and the average group size is rather small, it is feasible to design a special fine classifier for every group using all kinds of complementary features and classifiers. A hierarchical learning vector quantization is also utilized to optimize the global prototypes, local prototypes and group centroids. Furthermore, the risk-zone criterion is introduced to improve the hit rate of the samples which are located near the group boundaries. Experimental results on a handwriting Chinese character database show that the proposed method can reach a reasonable tradeoff between efficiency and accuracy.

关键词： Classification (of information)

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Group Behaviour Control Based on Aggregation and Dilation

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IFAC Proceedings Volumes 2008年第2期41卷 6072-6077页

作者： Bin Xin Jie Chen Li-Hua Dou Zhi-Hong Peng Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing 100081 Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education China

The phenomenon of aggregation and dilation(A&D) widely exists in nature. The mechanism behind it is regarded as the effect of some kind of attraction and repulsion(A&R). A&R control becomes a popular and promising way of controlling the structure and distribution of a group composed of several and even numerous individuals. This paper presents the concepts of aggregation, dilation and group evolution criticality based on group variance. We investigate the relationship between different levels of A&D as a foundation for the introduction of A&D analysis. The applications of A&D analysis and A&R control in several researches, including population-based optimization and group behavior control about multi-agent, are given in the form of simulation experiments.

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Optimization design and accuracy assignment of a typical complex system

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Xitong Gongcheng Lilun yu Shijian/system Engineering Theory and Practice 2008年第SUPPL.期28卷 157-162页

作者： Chen, Jie Dou, Li-Hua Zhang, Jia Automatic Department of Information Science Technology Academy Beijing Institute of Technology Beijing 100081 China Significant Laboratory of Complex System Intelligent Control and Decision-making Beijing Institute of Technology Beijing 100081 China

The paper first discusses the complexity of system and the necessity of complexity research. Aimed at a typical complex weapon equipment fire control system, the paper carries on optimization design according to its complexity. It proposes collectivity optimization assignment structure of complex weapon equipment system. The paper carries on deep research of accuracy assignment. The method combines the advantage of experience and model method and offsets their defects. Therefore, it solves the accuracy assignment of complex weapon system effectively and consummately.

关键词： Fire control systems

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A New Fuzzy Guaranteed Cost Control Design for a Class of Nonlinear Discrete-Time system with Uncertainties

A New Fuzzy Guaranteed Cost Control Design for a Class of No...

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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Shuxian Lun Dong Wang Changjian Cheng The key laboratory of complex system intelligent science Institute of Automation Chinese Academy of Sciences Beijing China School of Information Science and Engineering Bohai University Jinzhou Liaoning China

This paper studies fuzzy hyperbolic guaranteed cost control for certain nonlinear systems with parameter uncertainties. As same as Takagi-Sugeno (T-S) fuzzy model, fuzzy hyperbolic model (FHM) can be used to establish the model for certain unknown complex system. Furthermore, the main advantage of using FHM over T-S fuzzy model is that no premise structure identification is need and no completeness design of premise variables space is need. Also a FHM is a kind of valid global description and nonlinear model in nature. First, the fuzzy hyperbolic model (FHM) is proposed to represent the state-space model for certain nonlinear systems. Next, a nonlinear quadratic cost function is considered as a performance measurement of the closed-loop fuzzy system. Some sufficient conditions are provided for the construction of a fuzzy hyperbolic guaranteed cost controller via state feedback. These conditions are given in terms of the feasibility of linear matrix inequalities (LMIs). A simulation example is provided to illustrate the design procedure of the proposed method.

关键词： Fuzzy control Fuzzy systems Costs Control design Uncertainty Nonlinear systems Nonlinear control systems Control systems Uncertain systems Takagi-Sugeno model

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A Multi-objective Evolutionary Algorithm of Marriage in Honey Bees Optimization Based on the Local Particle Swarm Optimization

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IFAC Proceedings Volumes 2008年第2期41卷 12330-12335页

作者： Chenguang Yang Jie Chen Xuyan Tu Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing China Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing China

Marriage in Honey Bees Optimization (MBO) is a new swarm-intelligence method, but existing researches concentrate more on its application in single-objective optimization. In this paper, we focus on improving the algorithm to solve the multi-objective problem and increasing its convergence speed. The proposed algorithm is named as multi-objective Particle Swarm Marriage in Honey Bees Optimization (MOPSMBO). It uses non-dominated sorting strategy and crowded-comparison approach, utilizes the local Particle Swarm Optimization (PSO) to perform the local characteristic, and simpler the structure of MBO. Based on the Markov chain theory, we prove that MOPSMBO can converge with probability one to the entire set of minimal elements. Simulations are done on several multi-objective test functions and multi-objective Traveling Salesman Problem (TSP). By comparing MOPSMBO with MOGA, NPGA, NSGA and NSGA-II, simulation results show that MOPSMBO has better convergence speed and can better converge near the true Pareto-optimal front.

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Method for extracting edge features of welding seam based on an adaptive binary threshold

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Hanjie Xuebao/Transactions of the China Welding Institution 2008年第7期29卷 34-38页

作者： Yan, Zhiguo Xu, De Li, Yuan Key Laboratory of Complex System and Intelligent Sciences Institute of Automation Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100049 China Department of Information Science and Technology Beijing Institute of Technology Beijing 100081 China

This paper presents an image processing method which can extract the edge of welding seam reliably. Histogram equalization is performed on the gradient image of the original welding image to compress the gray distribution of pixels which represent the edge information of the image. Then the global binary threshold is determined. A small window is sliding on the histogram equalized gradient image with a step equal to half-width of the window to determine the local binary threshold in the window area. The adaptive binary threshold in the window area is obtained by combining the global and the local binary threshold. The image is binarized according to the adaptive binary threshold. Moreover, an iterative method is designed to remove noises in the binary image. The testing results of practical images demonstrate the validity of the method.

关键词： Binary images

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Automatic route tracking of smartcar based on fuzzy control

Automatic route tracking of smartcar based on fuzzy control

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World Congress on intelligent Control and Automation (WCICA)

作者： Guiyou Chen Zhenhua Li Ping Yang School of Control Science and Engineering Shandong University Jinan Shandong China Key Laboratory of Complex System and Intelligent Sciences Institute of Automation Chinese Academy of Sciences Chinese Academy of Sciences Beijing China

The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulation of the designed controller based on MATLAB fuzzy logical toolbox is proposed. And the fuzzy controller is realized using freescale fuzzy inference machine. It is successfully applied in the automatic route tracking. The hardware design of the smartcar introduced. Then, the process of establishing the fuzzy controller is described in detail, including the choice of fuzzy input and output variables, linguistic values, domain, input and output membership functions, rule base, fuzzification, rule inference, defuzzification. The validity of the designed controller is verified by MATLAB simulation and actual operating results.

关键词： Fuzzy control Microcontrollers Control systems DC motors Servomotors MATLAB Mathematical model

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络气虚滞证候大鼠血管内皮功能障碍与NEI网络因子分泌失衡之间的关系及通心络超微粉的干预作用

络气虚滞证候大鼠血管内皮功能障碍与NEI网络因子分泌失衡之间的...

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第五届国际络病学大会

作者： LIANG Jun-qing 梁俊清孙士然 SUN Shi-ran XU Hai-bo 徐海波 WU Xiao-li 吴小莉 ZHANG Qiu-yan 张秋艳 WEI Cong 魏聪 DONG Xiao-wei 董晓伟陈建新 CHEN Jian-xin CHEN Jing 陈静 The HeBei YiLiag Pharmaceutial Research Institute Shijiazhuang 050035china 河北以岭医药研究院石家庄050035 河北省中医院石家庄050017 The HeBei Traditional Chinese Medicine Hospital Shijiazhuang 050017china Affiliated Hospital of ChengDe Medical College Chengde 067000china 承德医学院附属医院承德067000 Laboratory for Complex System and Intelligent Science Insitute of Automation Academia Sinica Beijing 中国科学院自动化研究所复杂系统与智能科学重点实验室北京100080

目的：观察络气虚滞大鼠神经内分泌—免疫网络(NEI网络)相关因子与血管内皮功能的变化,运用复杂系统分析方法分析血管内皮功能与NEI网络相关因子变化之间的内在联系,并探讨通心络改善血管内皮功能的可能机制。方法：清洁级健康雄性Wista... 详细信息

目的：观察络气虚滞大鼠神经内分泌—免疫网络(NEI网络)相关因子与血管内皮功能的变化,运用复杂系统分析方法分析血管内皮功能与NEI网络相关因子变化之间的内在联系,并探讨通心络改善血管内皮功能的可能机制。方法：清洁级健康雄性Wistar大鼠随机分为4组(每组40只)：(1)对照组,(2)高同型半胱氨酸(HCY)组,(3)络气虚滞(SCQDC)组,(4)通心络组。放免及化学方法检测内皮素(ET)、血栓素A2(TXA2)、前列环素-I2(PGI2)、血浆肾素活性(PRA)、血管紧张素Ⅱ(Ang Ⅱ)、醛固酮(ALD)、促肾上腺皮质激素释放激素(CRH)、促肾上腺皮质激素(ACTH)、糖皮质激素(GC)、白介素1β(IL-1β)、白介素2(IL-2)、白介素6(IL-6)的水平及血清一氧化氮(NO)含量;ELISA方法检测去甲肾上腺素(NE)、白介素10(IL-10)的水平。复杂系统分析方法分析血管内皮功能指标与NEI网络因子之间的内在联系。结果：(1)与对照组比较,络气虚滞组ET-1、TXA2、Ang Ⅱ、CRH、IL-1β、IL-6水平显著升高,ACTH与GC水平明显下降。(2)与HCY组比较,PGI2 NO等含量、血浆肾素活性及GC水平显著降低,而Ang Ⅱ及CRH显著升高,另外NE水平也呈现出升高趋势。(3)与络气虚滞组比较,通心络可显著降低ET-1、Ang Ⅱ、CRH、IL-1β、IL-6水平,同时明显升高ACTH、GC及NO水平,并且NE水平也有所降低。复杂系统分析结果显示：络气虚滞组NEI网络相关指标CRH、ACTH、GC及ALD与内皮功能指标ET之间,Ang Ⅱ、IL-1与ET之间,ALD与PGI2之间,ALD与NO之间,分别构成了4个相互独立的系统,它们之间均是按照复杂系统的最优化原则发生相互联系,并存在递变规律,对照组、HCY组、通心络干预组则不存在这种子系统之间的相互联系。结论：“过劳伤气”所致植物神经功能失调在血管病变中起着重要作用,同时也是导致NEI网络紊乱的主要因素,络气虚滞型血管内皮功能障碍与NEI网络因子稳态失衡之间存在着密切相关性,后者可能是前者发生、发展的病理生理学基础之一,通心络改善络气虚滞条件下血管内皮功能的机制可能与其调节NEI网络的稳态有关。

关键词：血管内皮功能障碍络气虚滞病理生理动物模型

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