Resource Type

Journal Article 339

Conference Videos 8

Conference Information 2

Year

2023 33

2022 41

2021 27

2020 33

2019 19

2018 22

2017 15

2016 23

2015 12

2014 7

2013 5

2012 7

2011 5

2010 9

2009 7

2008 12

2007 16

2006 8

2005 12

2004 5

open ︾

Keywords

neural networks 7

open complex giant system 6

Artificial intelligence 4

Deep learning 4

Boolean control networks 3

complex systems 3

meta-synthesis management 3

3D printing 2

Artificial neural networks 2

Boolean networks 2

Cognitive radio networks 2

Complex network 2

Complex networks 2

Complex systems 2

Consensus 2

Convolutional neural networks (CNNs) 2

Energy consumption 2

Fault diagnosis 2

Marxist philosophy 2

open ︾

Search scope:

排序： Display mode:

Asurvey on complex dynamical networkswith impulsive effects Review Articles

Xiu-ping HAN, Yong-shun ZHAO, Xiao-di LI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 199-219 doi: 10.1631/FITEE.1900456

Abstract: We review the research on complex dynamical networks (CDNs) with impulsive effects.

Keywords： Complex dynamical networks     Synchronizing impulses     Desynchronizing impulses     Pinning control     Time delay    

HTML PDF Collect

Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: We propose a general mathematical framework, which couples the complex structure of the system with the

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

HTML PDF Collect

Exploring self-organization and self-adaption for smart manufacturing complex networks

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 206-222 doi: 10.1007/s42524-022-0225-1

Abstract: Specifically, a general model of smart manufacturing complex networks is constructed using scale-freenetworks to interconnect heterogeneous manufacturing resources represented by network vertices at multipleinto virtual manufacturing services using cloud technology, which can be added to or removed from the networksMaterials, information, and financial assets are passed through interactive links across the networks

Keywords： cyber–physical systems     Industrial Internet of Things     smart manufacturing complex networks     self-organization    

HTML PDF Collect

Traditional Chinese medicine: potential approaches from modern dynamical complexity theories

Yan Ma,Kehua Zhou,Jing Fan,Shuchen Sun

Frontiers of Medicine 2016, Volume 10, Issue 1,   Pages 28-32 doi: 10.1007/s11684-016-0434-2

Abstract: TCM views the human body as a complex dynamical system, and focuses on the balance of the human body,Only methods that quantify dynamical complexity can bring new insights into the evaluation of TCM.article aims to explain the existing challenges in TCM quantification, to introduce the consistency of dynamical

Keywords： traditional Chinese medicine     quantification     dynamical complexity     system level     balance     modern sciences    

HTML PDF Collect

Applications of dynamical complexity theory in traditional Chinese medicine

Yan Ma,Shuchen Sun,Chung-Kang Peng

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 279-284 doi: 10.1007/s11684-014-0367-6

Abstract: This difficulty arises from the fact that TCM views human body as a complex dynamical system, and focusesMethods that can quantify the dynamics of complex integrative systems may bring new insights and utilitiesThe dynamical complexity theory recently proposed and its computational algorithm, Multiscale EntropyWe believe that there could be many promising applications of this dynamical complexity concept in TCM

Keywords： traditional Chinese medicine     Multiscale Entropy     dynamical complexity     system level     applications    

HTML PDF Collect

Unified construction of two n-order circuit networks with diodes Research Article

Xiaoyan LIN, Zhizhong TAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 289-298 doi: 10.1631/FITEE.2200360

Abstract: In this paper, two different -order topological circuit networks are connected by diodes to establish

Keywords： Complex networks     Equivalent transform     Nonlinear difference equation     Equivalent resistance    

HTML PDF Collect

Integrated virtual-design methods for forecasting radiated noise of single cylinder diesel block

GUO Lei, HAO Zhiyong, XU Hongmei, LIU Lianyun

Frontiers in Energy 2008, Volume 2, Issue 4,   Pages 416-421 doi: 10.1007/s11708-008-0097-z

Abstract: The two cycle dynamical results, such as the bearing load, the piston thrust, and the load spatial distributionetc., were obtained by hybrid dynamical simulation of the flexible assembly of the block and crank-train

Keywords： bearing     dynamical     frequency response     dynamical simulation     hybrid dynamical    

HTML PDF Collect

Dynamical Fast IP-Routing Lookup Algorithm

Liu Yalin

Strategic Study of CAE 2002, Volume 4, Issue 7,   Pages 60-68

Abstract:

This paper proposes a dynamical fast IP-routing lookup algorithm (DFR).

Keywords： prefix expansion     dynamical fast IP-routing lookup algorithm (DFR)     route     route lookup    

HTML PDF Collect

Output tracking control of mobile manipulators based on dynamical sliding-mode control

WUYuxiang, FENG Ying, HU Yueming

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 110-115 doi: 10.1007/s11465-007-0019-5

Abstract: A dynamical sliding-mode controller is devised to track the output of mobile manipulators.Moreover, a design method of the dynamical sliding-mode controller that is applied to the output trackingThe simulation results indicate that the dynamical sliding-mode controller can not only track the given

Keywords： lower-dimensional     nonlinear     trajectory     tracking     diffeomorphism    

HTML PDF Collect

Complex systems and networks with their applications Editorial

Jin-de CAO, Yang LIU, Jian-quan LU, Leszek RUTKOWSKI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 195-198 doi: 10.1631/FITEE.2020000

Abstract: 复杂系统与网络能刻画现有大量系统的特征，并在过去几十年中得到国内外学者广泛关注。由于通信、计算机和信息技术飞速发展，人们能够应对传统方法无法处理的大规模数据，近年来，有关复杂系统与网络的研究已扩展至网络化控制系统、信息物理系统、逻辑网络、神经网络和其它相关领域。更重要的是，诸如无线传感网络、分散式控制和深度学习等新兴技术亟需分布式控制策略，以确保系统鲁棒性、灵活性、可扩展性、低成本或便于配置和易于维护。 自上世纪末以来，有关复杂系统与网络的研究已取得巨大发展和进步，得到许多有见地的结果和富有成效的方法。复杂系统与网络已广泛应用于民用和军事领域，典型示例包括运输系统、国家电网、健康和医疗领域、航空航天和工业系统等专业领域。随着对清洁能源、低成本、高安全性、健康等的要求，复杂系统与网络的研究越来越受到学术界和工业界关注。 在此背景下，中国工程院院刊《信息与电子工程前沿（英文）》（FITEE）组织了本期“复杂系统与网络及其应用”专刊，旨在促进复杂系统与网络的研究，概述理论、应用两方面最新进展。经严格评审，共遴选12篇论文，其中2篇综述，10篇研究论文。 李晓迪等对基于复杂网络的脉冲控制给出全面综述。侧重于脉冲控制和脉冲摄动，涉及具有脉冲效应的复杂动态网络几个方面：同步和异步脉冲、自适应—脉冲同步、牵制脉冲同步以及具有随机和脉冲效应的复杂动态网络。同时，指出一些未来研究方向。李海涛等详细综述逻辑控制网络控制器设计的最新研究进展，具体包括可达集方法、牵制控制设计、控制李雅普诺夫函数方法和采样控制方法等。 曹进德等讨论了具有脉冲特性的分数阶四元数神经网络的多重Mittag-Leffler稳定性问题。作者证实：当利普希茨条件得到保证时，可用由激活函数几何特性导出的工具证明平衡点的存在性。此外，借助李雅普诺夫稳定性理论，进一步研究了带脉冲的分数阶四元数值神经网络多个平衡点的全局Miattag-Leffler稳定性问题，通过数值实例验证了所提方法的有效性。 逻辑网络作为基因调控网络建模的典型形式之一，一直是人们关注的热点，在系统生物学、电网、内燃机、博弈论、加密和机器人等领域有着广泛应用。代数状态空间方法的发展，极大促进了有关逻辑控制网络的结构和动力学研究，以及逻辑控制网络的分析与综合，甚至扩展至布尔和多值逻辑网络等。 桂卫华等基于网络结构提出布尔网络的输出反馈稳定器设计方法。不同于传统牵制控制设计方法，给出的设计策略与布尔网络的状态转换矩阵无关，且可有效确定牵制控制节点并降低计算复杂度。利用信号转导网络和果蝇分割极性基因网络仿真和实验，验证该方法具有良好性能和适应性。 卢剑权等讨论了基于切换的非周期采样布尔控制网络的稳定性问题。解决了网络各子系统不稳定时非周期采样数据控制下的布尔控制网络全局稳定性问题。与其它不稳定子系统的切换布尔网络的全局稳定性研究相比，其考虑的非周期采样控制问题更为困难与复杂。 近年来，同步和一致性现象引起人们对网络系统中集群行为产生机制的关注。Kurths等提出一种基于双仿真的状态反馈控制的概率布尔控制网络稳定新方法，可用于降低计算复杂度。在强大矩阵运算基础上，给出一个充要条件，并考虑双仿概率布尔控制网络之间概率为1的镇定问题。李露露等研究了耦合时滞布尔网络的完全同步问题，其中状态时滞和输出时滞可能不相等，并且每个布尔网络中的状态时滞可能不同，提出完全同步的一个充要条件，并给出相应算法。 潘金凤和孟敏基于级联聚集的布尔网络，考虑了最优单比特扰动，使得期望吸引子吸引域最大，而非期望吸引子吸引域最小。基于聚集方法，给出单比特扰动后所需吸引子不变的一个充分必要条件。在T细胞受体网络上的实验证实了该方法的可行性和有效性。 级联分解作为布尔控制网络分解的一种基本形式，在理论上是一个有趣而实用的概念。李一峰和朱建栋利用图论方法研究布尔控制网络的两类级联分解问题，提出“嵌套完全等顶点划分”概念，并得到图解的充分必要条件。此外，通过构造坐标变换，给出相应级联分解形式，通过实验数据验证了该方法的可行性和有效性。 由于涉及DNA转录和RNA翻译的耗时过程，时滞在基因调控过程中不可避免，并且在生物体发育中起关键作用。最近，时滞逻辑控制网络领域的研究者得到一些有趣结果。郑雅婷和冯俊娥基于集合稳定性理论，研究具有状态和控制约束的时滞逻辑控制网络的输出跟踪问题。基于状态转换矩阵的变形，推导出几个充要条件，并提出容许状态反馈控制器设计方案。实验证明了该方法的可行性和有效性。 神经网络在医学图像边缘检测、医学事件检测、模式识别和机器人技术等领域的潜在应用价值，使得神经网络快速发展。曹阳等研究了混合时滞和脉冲效应的惯性双向联想记忆神经网络，借助微分不等式技术，给出反周期解的存在性、唯一性和全局指数稳定性判据。最后给出一个算例，验证了结果的有效性。 交通信息的可获取性对汽车动力系统控制具有巨大潜力。康明新和高金武描述了一种换档控制方案，其中控制设计换档策略可在逻辑系统框架内制定。为实现这一控制方案，车辆动力学模型采用马尔可夫过程。在逻辑系统框架下，通过滚动时域最优控制求解燃料优化问题。利用动态规划工具求解最优问题。仿真结果验证了设计方案的有效性。 本期专刊涵盖了当前大量有关复杂系统、逻辑网络和神经网络的研究内容及其最新进展，包括逻辑网络的稳定、跟踪和解偶、神经网络的分析和综合、基于脉冲控制的复杂网络同步问题策略，以及车辆燃油效率优化等实际工程问题。我们希望本期专刊对这些领域的研究人员有所帮助，促进复杂系统和逻辑网络、神经网络及相关领域研究的开展。 本期专刊的顺利出版，得益于作者和匿名审稿人在内众多学者的支持和无私帮助。此外，我们感谢期刊编辑大力协助，感谢主编潘云鹤和卢锡城教授提供的宝贵机会。

Keywords： None    

HTML PDF Collect

The Immense Impact of Reverse Edges on Large Hierarchical Networks

Haosen Cao,Bin-Bin Hu,Xiaoyu Mo,Duxin Chen,Jianxi Gao,Ye Yuan,Guanrong Chen,Tamás Vicsek,Xiaohong Guan,Hai-Tao Zhang,

Engineering doi: 10.1016/j.eng.2023.06.011

Abstract: Hierarchical networks are frequently encountered in animal groups, gene networks, and artificial engineeringsystems such as multiple robots, unmanned vehicle systems, smart grids, wind farm networks, and so forthThis study reveals that, for most large-scale real hierarchical networks, the majority of the reversereverse edges turn out to have some kind of “bunching” effect on the information flows of hierarchical networks, which might be beneficial for precisely tuning the synchronization rhythms of these networks.

Keywords： Synchronizability     Large hierarchical networks     Reverse edges     Information flows     Complex networks    

HTML PDF Collect

An integrated approach for machine-learning-based system identification of dynamical systems under control

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: Advanced model-based control strategies, e.g., model predictive control, can offer superior control of key process variables for multiple-input multiple-output systems. The quality of the system model is critical to controller performance and should adequately describe the process dynamics across its operating range while remaining amenable to fast optimization. This work articulates an integrated system identification procedure for deriving black-box nonlinear continuous-time multiple-input multiple-output system models for nonlinear model predictive control. To showcase this approach, five candidate models for polynomial and interaction features of both output and manipulated variables were trained on simulated data and integrated into a nonlinear model predictive controller for a highly nonlinear continuous stirred tank reactor system. This procedure successfully identified system models that enabled effective control in both servo and regulator problems across wider operating ranges. These controllers also had reasonable per-iteration times of ca. 0.1 s. This demonstration of how such system models could be identified for nonlinear model predictive control without prior knowledge of system dynamics opens further possibilities for direct data-driven methodologies for model-based control which, in the face of process uncertainties or modelling limitations, allow rapid and stable control over wider operating ranges.

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machine learning     industrial applications of process control    

HTML PDF Collect

A tentative theory of human meridian

Tang Xiaowei,Shen Xiaolei,He Hongjian

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 14-17

Abstract: We hypothesize that the human meridian system consists of neuroendocrine immune networks with numerousThe complex meridian networks are then not only spreading over the whole human body but also taking effects

Keywords： human meridian     acupunture point     neuroendocrine immune system     complex networks    

HTML PDF Collect

GID complex regulates the differentiation of neural stem cells by destabilizing TET2

Frontiers of Medicine doi: 10.1007/s11684-023-1007-9

Abstract: interacts with the core subunits of the glucose-induced degradation-deficient (GID) ubiquitin ligase complex, an evolutionarily conserved ubiquitin ligase complex and is ubiquitinated by itself.The protein levels of GID complex subunits increased reciprocally with TET2 level upon NSC differentiationThe silencing of the core subunits of the GID complex, including WDR26 and ARMC8, attenuated the ubiquitinationOur results illustrated that the GID complex negatively regulates TET2 protein stability, further modulates

Keywords： TET2     GID complex     neural stem cells     differentiation of neurons    

HTML PDF Collect

Distributed filtering and control of complex networks and systems Editorial

Guanrong Chen, Sergej Čelikovský, Lei Guo, Youmin Zhang, Tiancheng Li,eegchen@cityu.edu.hk,celikovs@utia.cas.cz,lguo@buaa.edu.cn,ymzhang@encs.concordia.ca,t.c.li@nwpu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2110000

Abstract: last two decades, research on distributed filtering and control (FAC) has burgeoned into large-scale complexnetworks and systems.A distributed networked system, typically composed of a number of cost-effective dynamical nodes (agentsthe best field-of-view coverage, tackling the intrinsic interactions and unknown correlations among dynamicalaimed at collecting high-quality papers in the research field of distributed filtering and control of complex
HTML PDF Collect

Title Author Date Type Operation

Asurvey on complex dynamical networkswith impulsive effects

Xiu-ping HAN, Yong-shun ZHAO, Xiao-di LI

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Exploring self-organization and self-adaption for smart manufacturing complex networks

Journal Article

Traditional Chinese medicine: potential approaches from modern dynamical complexity theories

Yan Ma,Kehua Zhou,Jing Fan,Shuchen Sun

Journal Article

Applications of dynamical complexity theory in traditional Chinese medicine

Yan Ma,Shuchen Sun,Chung-Kang Peng

Journal Article

Unified construction of two n-order circuit networks with diodes

Xiaoyan LIN, Zhizhong TAN

Journal Article

Integrated virtual-design methods for forecasting radiated noise of single cylinder diesel block

GUO Lei, HAO Zhiyong, XU Hongmei, LIU Lianyun

Journal Article

Dynamical Fast IP-Routing Lookup Algorithm

Liu Yalin

Journal Article

Output tracking control of mobile manipulators based on dynamical sliding-mode control

WUYuxiang, FENG Ying, HU Yueming

Journal Article

Complex systems and networks with their applications

Jin-de CAO, Yang LIU, Jian-quan LU, Leszek RUTKOWSKI

Journal Article

The Immense Impact of Reverse Edges on Large Hierarchical Networks

Haosen Cao,Bin-Bin Hu,Xiaoyu Mo,Duxin Chen,Jianxi Gao,Ye Yuan,Guanrong Chen,Tamás Vicsek,Xiaohong Guan,Hai-Tao Zhang,

Journal Article

An integrated approach for machine-learning-based system identification of dynamical systems under control

Journal Article

A tentative theory of human meridian

Tang Xiaowei,Shen Xiaolei,He Hongjian

Journal Article

GID complex regulates the differentiation of neural stem cells by destabilizing TET2

Journal Article

Distributed filtering and control of complex networks and systems

Guanrong Chen, Sergej Čelikovský, Lei Guo, Youmin Zhang, Tiancheng Li,eegchen@cityu.edu.hk,celikovs@utia.cas.cz,lguo@buaa.edu.cn,ymzhang@encs.concordia.ca,t.c.li@nwpu.edu.cn

Journal Article