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Convergence analysis of distributed Kalman filtering for relative sensing networks Research

Che LIN, Rong-hao ZHENG, Gang-feng YAN, Shi-yuan LU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9, Pages 1063-1075 doi: 10.1631/FITEE.1700066

Abstract:

We study the distributed Kalman filtering problem in relative sensing networks with rigorous analysis. The relative sensing network is modeled by an undirected graph while nodes in this network are running homogeneous dynamical models. The sufficient and necessary condition for the observability of the whole system is given with detailed proof. By local information and measurement communication, we design a novel distributed suboptimal estimator based on the Kalman filtering technique for comparison with a centralized optimal estimator. We present sufficient conditions for its convergence with respect to the topology of the network and the numerical solutions of n linear matrix inequality (LMI) equations combining system parameters. Finally, we perform several numerical simulations to verify the effectiveness of the given algorithms.

Keywords： Relative sensing network Distributed Kalman filter Schur stable Linear matrix inequality

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Application Example of Creativity Thinking and Its Revelation Effect

Li Qiang

Strategic Study of CAE 2003, Volume 5, Issue 6, Pages 59-62

Abstract:

The yield mechanism of creativity achievement of gravity separation for solving engineering problem has been analyzed in this paper according to the divergence - convergence model, after the background and realizing track of the advanced dry coal separation with air-dense medium in fluidization bed be put forward in the field of mineral processing. And the application process of creativity thinking and its revelation effect have been discussed, too.

Keywords： gravity separation creativity thinking divergence-convergence model application example

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Block coordinate descent with time perturbation for nonconvex nonsmooth problems in real-world studies Research Article

Rui Liu, Wei-chu Sun, Tao Hou, Chun-hong Hu, Lin-bo Qiao,liuruirui@csu.edu.cn,smsysun@foxmail.com,houtao@csu.edu.cn,huchunhong@csu.edu.cn,qiao.linbo@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10, Pages 1390-1403 doi: 10.1631/FITEE.1900341

Abstract: The era of big data in healthcare is here, and this era will significantly improve medicine and especially oncology. However, traditional machine learning algorithms need to be promoted to solve such large-scale real-world problems due to a large amount of data that needs to be analyzed and the difficulty in solving problems with nonconvex nonlinear settings. We aim to minimize the composite of a smooth nonlinear function and a block-separable nonconvex function on a large number of block variables with inequality constraints. We propose a novel parallel first-order optimization method, called asynchronous block coordinate descent with (ATP), which adopts a technique that escapes from saddle points and sub-optimal local points. The details of the proposed method are presented with analyses of convergence and iteration complexity properties. Experiments conducted on real-world machine learning problems validate the efficacy of our proposed method. The experimental results demonstrate that enables ATP to escape from saddle points and sub-optimal points, providing a promising way to handle nonconvex optimization problems with inequality constraints employing asynchronous block coordinate descent. The asynchronous parallel implementation on shared memory multi-core platforms indicates that the proposed algorithm, ATP, has strong scalability.

Keywords：收敛分析；异步块坐标下降法；时间扰动；非凸非平滑优化；真实世界研究

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Convergence of time-varying networks and its applications Research Articles

Qingling Wang,qlwang@seu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1, Pages 1-140 doi: 10.1631/FITEE.2000160

Abstract: In this study, we present the convergence of . Then, we apply the convergence property to cooperative control of nonlinear multiagent systems (MASs) with (UCDs), and illustrate a new kind of based control algorithms. It is proven that if the are cut-balance, the convergence of nonlinear MASs with nonidentical UCDs is achieved using the presented algorithms. A critical feature of this application is that the designed algorithms can deal with nonidentical UCDs by employing conventional s. Finally, one simulation example is given to illustrate the effectiveness of the presented algorithms.

Keywords： Time-varying networks Unknown control directions Nussbaum-type function Cut-balance condition

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DE-CMA：An Improved Blind Equalization Algorithm Used in3G Connection Systems

Wang Ji,Hu Aiqun,Song Yubo

Strategic Study of CAE 2007, Volume 9, Issue 2, Pages 54-57

Abstract:

The convergence of the Constant-modulus algorithm widely used in DVB system is a complex problem.Firstly,some influencing factors such as cost function,iterative equation and filter coefficients are considered;then,in this paper,an ameliorative algorithm with time-delay estimate is proposed,which can avoid converging to the ill solution by correcting the position of main path.Simulation results demonstrate the proposed algorithm can highly improve the convergence performance of the primary one.Besides,its simplicity and efficiency make it feasible in the high-rate 3G connection application.

Keywords： blind equalization CMA ill-convergence time-delay-estimate

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Fixed-time constrained acceleration reconstruction scheme for robotic exoskeleton via neural networks Research

Tao Xue, Zi-wei Wang, Tao Zhang, Ou Bai, Meng Zhang, Bin Han,taozhang@tsinghua.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5, Pages 649-808 doi: 10.1631/FITEE.1900418

Abstract: Accurate acceleration acquisition is a critical issue in the system, but it is difficult to directly obtain the acceleration via the existing sensing systems. The existing algorithm-based acceleration acquisition methods put more attention on finite-time convergence and disturbance suppression but ignore the error constraint and s. To this end, a novel radical bias function neural network (RBFNN) based fixed-time reconstruction scheme with error constraints is designed to realize high-performance acceleration estimation. In this scheme, a novel exponential-type is proposed to handle the error constraints. It also provides a unified and concise Lyapunov stability-proof template for constrained and non-constrained systems. Moreover, a fractional power sliding mode control law is designed to realize , where the convergence time is irrelevant to initial states or external disturbance, and depends only on the chosen parameters. To further enhance observer robustness, an RBFNN with the adaptive weight matrix is proposed to approximate and attenuate the completely unknown disturbances. Numerical simulation and human subject experimental results validate the unique properties and practical robustness.

Keywords：加速度重构；固定时间收敛；约束控制；障碍李雅普诺夫函数；初始状态无关方法；外骨骼机器人

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Finite-time formation control for first-order multi-agent systems with region constraints Research Articles

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1, Pages 1-140 doi: 10.1631/FITEE.2000177

Abstract: In this study, the control of s with region constraints is studied. Multiple agents have first-order dynamics and a common target area. A novel control algorithm is proposed using local information and interaction. If the communication graph is undirected and connected and the desired framework is rigid, it is proved that the controller can be used to solve the formation problem with a target area. That is, all agents can enter the desired region in finite time while reaching and maintaining the desired formation shapes. Finally, a numerical example is given to illustrate the results.

Keywords： Finite-time formation Multi-agent system Asymptotic convergence Set constraint Lyapunov theorem

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A survey of malware behavior description and analysis Review

Bo YU, Ying FANG, Qiang YANG, Yong TANG, Liu LIU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5, Pages 583-603 doi: 10.1631/FITEE.1601745

Abstract: Behavior-based malware analysis is an important technique for automatically analyzing and detecting malware, and it has received considerable attention from both academic and industrial communities. By considering how malware behaves, we can tackle the malware obfuscation problem, which cannot be processed by traditional static analysis approaches, and we can also derive the as-built behavior specifications and cover the entire behavior space of the malware samples. Although there have been several works focusing on malware behavior analysis, such research is far from mature, and no overviews have been put forward to date to investigate current developments and challenges. In this paper, we conduct a survey on malware behavior description and analysis considering three aspects: malware behavior description, behavior analysis methods, and visualization techniques. First, existing behavior data types and emerging techniques for malware behavior description are explored, especially the goals, principles, characteristics, and classifications of behavior analysis techniques proposed in the existing approaches. Second, the inadequacies and challenges in malware behavior analysis are summarized from different perspectives. Finally, several possible directions are discussed for future research.

Keywords： Malware behavior Static analysis Dynamic Analysis Behavior data expression Behavior analysis Machine learning Semantics-based analysis Behavior visualization Malware evolution

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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction Research Article

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1574-1590 doi: 10.1631/FITEE.2200334

Abstract: Harmony search (HS) is a form of stochastic meta-heuristic inspired by the improvisation process of musicians. In this study, a modified HS with a hybrid cuckoo search (CS) operator, HS-CS, is proposed to enhance global search ability while avoiding falling into local optima. First, the randomness of the HS pitch disturbance adjusting method is analyzed to generate an adaptive inertia weight according to the quality of solutions in the harmony memory and to reconstruct the fine-tuning bandwidth optimization. This is to improve the efficiency and accuracy of HS algorithm optimization. Second, the CS operator is introduced to expand the scope of the solution space and improve the density of the population, which can quickly jump out of the local optimum in the randomly generated harmony and update stage. Finally, a dynamic parameter adjustment mechanism is set to improve the efficiency of optimization. Three theorems are proved to reveal HS-CS as a meta-heuristic algorithm. In addition, 12 benchmark functions are selected for the optimization solution to verify the performance of HS-CS. The analysis shows that HS-CS is significantly better than other algorithms in optimizing high-dimensional problems with strong robustness, high convergence speed, and high convergence accuracy. For further verification, HS-CS is used to optimize the back propagation neural network (BPNN) to extract weighted fuzzy production rules. Simulation results show that the BPNN optimized by HS-CS can obtain higher classification accuracy of weighted fuzzy production rules. Therefore, the proposed HS-CS is proved to be effective.

Keywords： Harmony search algorithm Cuckoo search algorithm Global convergence Function optimization Weighted fuzzy production rule extraction

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Finite element analysis of transmission test rig based on ANSYS

Liu Penghao,Fu Sheng,Zhu Xiaomin

Strategic Study of CAE 2014, Volume 16, Issue 8, Pages 74-78

Abstract:

Three-dimensional modeling of automotive transmission test rig is established based on Solidworks in this paper. The stress nephogram, modal parameters, the natural frequencies and vibration features of automotive transmission test rig are identified through transient Analysis and modal analysis based on ANSYS. The results lay the foundation to further study on vibration, fatigue, noise and also provide reference for structural optimization design of automotive transmission test rig.

Keywords： transmission test rig ANSYS FEA transient Analysis mode analysis

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Analysis on the Machined Surface Profile Error Using Fractals and Wavelet

Liao Xiaoyun,Tang Qian,Zhao Ying,Zheng Shize

Strategic Study of CAE 2002, Volume 4, Issue 5, Pages 75-78

Abstract:

An analysis method based on fractals and wavelet for machined surface profile error was presented. It can be employed to analyze the machined surface in details, and reconstruct the surface profile for doing some related work, such as performance-tolerance analysis and process quality control. The fractal dimension algorithms, the analysis and reconstruction algorithms of surface profile based on wavelets theories were developed. The given example showed that this method and related algorithms were very effective.

Keywords： machining machined error analysis fractal geometry wavelet analysis

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Analysis of Influencing Factor of Brand Competitiveness

Bing Hongyan

Strategic Study of CAE 2002, Volume 4, Issue 5, Pages 79-83

Abstract:

Transnational corporations carry out the global strategy, from product export, capital export to brand export. This kind of multipurpose export which relies on abundant capital and is guaranteed by the advanced technology, as a flag with brand ,impacts greatly the national brand and gives it a severe challenge. Facing the foreign brand large-scale entering, the problem appears gradually that national brands are short of competitiveness. The author tries to discuss countermeasures to improve brand competitiveness by analyzing the influencing factor of brand competitiveness.

Keywords： brand competitiveness influencing factor analysis countermeasure

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Technical Analysis and Construction of National Lightning Detecting Network

Xu Xiaofeng

Strategic Study of CAE 2002, Volume 4, Issue 5, Pages 7-13

Abstract:

Lightning is a natural phenomenon that seriously affects the natural environment and human activities. Therefore, it is of important social, economical and scientific value to detect the lightning effectively. Comparing with the developed countries, China has some gaps in the fields of lightning studying, forecasting and detecting. In this article, the mechanism of lightning and its influence are described. The present situation and the direction of lightning detecting technology at home and abroad are also analyzed. Several suggestions and issues have been proposed for constructing the national lightning detecting network.

Keywords： lightning detecting technical analysis system construction

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Application of Big Data Analysis Methods for Technology Foresight in Strategic Emerging Industries

Liu Yufei, Zhou Yuan, Liao Ling

Strategic Study of CAE 2016, Volume 18, Issue 4, Pages 121-128 doi: 10.15302/J-SSCAE-2016.04.018

Abstract:

As an innovative strategic management tool, technology foresight has received increasing interest. There is a large number of related scholarship on technology foresight and its application. The theoretical difficulty is how to conduct technology foresight for different kinds of emerging industries, especially for targeted types of industry innovation in a developing country. Delphi expert analysis is currently the most popular method for technology foresight. This method is undermined by a lack of reliabe and valid big data to support expert experience. The authors propose a new method for patent and technical document analysis for the use of technology foresight for China’s emerging industries.

Keywords： technology foresight bibliometric patent analysis big data analysis emerging industry

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Development of Microfabrication Techniques for Production of Analysis Chip

Wei Shoushui,Zhang Yulin,Cui Dafu

Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 90-94

Abstract:

Fabrication of micro-channels is a key technique for production of analysis chip. The principles of selecting material, the fabrication of mold used in molding replication and every directly fabricating methods were compared and discussed. Some available methods of microfabrication for production of analysis chip were proposed.

Keywords： analysis chip microfabrication μ-TAS

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Title Author Date Type Operation

Convergence analysis of distributed Kalman filtering for relative sensing networks

Che LIN, Rong-hao ZHENG, Gang-feng YAN, Shi-yuan LU

Journal Article

Application Example of Creativity Thinking and Its Revelation Effect

Li Qiang

Journal Article

Block coordinate descent with time perturbation for nonconvex nonsmooth problems in real-world studies

Rui Liu, Wei-chu Sun, Tao Hou, Chun-hong Hu, Lin-bo Qiao,liuruirui@csu.edu.cn,smsysun@foxmail.com,houtao@csu.edu.cn,huchunhong@csu.edu.cn,qiao.linbo@nudt.edu.cn

Journal Article

Convergence of time-varying networks and its applications

Qingling Wang,qlwang@seu.edu.cn

Journal Article

DE-CMA：An Improved Blind Equalization Algorithm Used in3G Connection Systems

Wang Ji,Hu Aiqun,Song Yubo

Journal Article

Fixed-time constrained acceleration reconstruction scheme for robotic exoskeleton via neural networks

Tao Xue, Zi-wei Wang, Tao Zhang, Ou Bai, Meng Zhang, Bin Han,taozhang@tsinghua.edu.cn

Journal Article

Finite-time formation control for first-order multi-agent systems with region constraints

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn