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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: Result shows that a simple linear mapping relationship exists between network structure and network behavior

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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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    

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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 focusesThe 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    

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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    

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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    

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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    

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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    

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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    

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Dynamical analysis of droplet impact spreading on solid substrate

Zhaomiao LIU, Huamin LIU, Xin LIU,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 308-315 doi: 10.1007/s11465-010-0020-2

Abstract: This paper investigates the impact spreading of a droplet on a solid substrate using numerical simulation on the basis of a volume-of-fluid (VOF) model. The process of droplet spreading is described, the analysis of low speed and high speed droplet spreading, and more than one droplet spreading simultaneously is performed. The pressure, velocity, and spreading factor during the droplet spreading are reported. According to the spreading factor’s evolvement, the process of droplet spreading can be classified into spreading phase and recoiling phase. The spreading factors are almost the same at the low speed droplet spreading; however, the pressures on the substrate are quite different and air entrainment may be found as the impact speeds in a certain range. The impact speed impacts on the spreading factors in high speed droplet spreading. The spreading factor obviously increases with increasing impact speed; however, splashing will appear in the status when the speed is high enough in the high speed droplet spreading. The distance between the neighbor droplets affects the film’s quality, and only the distance between the static diameter and the maximum diameter can ensure the film’s quality. The results could help in understanding the process of droplet spreading and provide advice on the operation of a spray coating process.

Keywords： droplet     impact spreading     numerical simulation    

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Dynamical research on spherical micro actuator with piezoelectric ceramic stacks drivers

ZHANG Ruihua, CHEN Haichu

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 433-438 doi: 10.1007/s11465-007-0074-y

Abstract: Second, The Runge-Kutta arithmetic is used to calculate the dynamical parameters of the micro actuator; the SIMULINK module of MATLAB is used to build the dynamical simulating model and then simulate it.

Keywords： spherical     micro-gripper     friction coefficient     dynamic     frequency    

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Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 131-136 doi: 10.15302/J-FEM-2015037

Abstract: , construction accidents frequently happen, which are significantly attributable to workers’ unsafe behaviorBehavior-based safety (BBS) is an effective method to modify workers’ unsafe behavior.This paper introduces the study on big data-based metro construction behavior modification, aiming toFirst, the behavior modification pushing mechanism based on content-based personalized recommendationSecondly, the development of behavior modification system of metro construction (BMSMC) is introduced

Keywords： big data     unsafe behavior     behavior modification     behavior-based safety (BBS)     unsafe behavior rate    

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Flow behavior of non-spherical particle flowing in hopper

He TAO,Wenqi ZHONG,Baosheng JIN

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 315-321 doi: 10.1007/s11708-014-0331-9

Abstract: Ellipsoidal particles flowing in the hopper were simulated by using the discrete element method (DEM), and described by the multi-element method. The contact detection algorithm and equations for ellipsoidal particle motion in hopper were developed. And the simulation results were confirmed by experiment. Additionally, the mass flow rate, pressure distribution and velocity distribution of two kinds of particles were examined. The results show that the mass flow rate of ellipsoidal particles is smaller than that of spherical particles. There is a maximum value of pressure drop at the top of the junction. Besides, the pressure drop decreases with the discharging time increasing. The velocity of spherical particle is larger than that of ellipsoidal.

Keywords： discrete element method     ellipsoidal particle     flow behavior     hopper    

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Review of human–robot coordination control for rehabilitation based on motor function evaluation

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0684-4

Abstract: As a wearable and intelligent system, a lower limb exoskeleton rehabilitation robot can provide auxiliary rehabilitation training for patients with lower limb walking impairment/loss and address the existing problem of insufficient medical resources. One of the main elements of such a human–robot coupling system is a control system to ensure human–robot coordination. This review aims to summarise the development of human–robot coordination control and the associated research achievements and provide insight into the research challenges in promoting innovative design in such control systems. The patients’ functional disorders and clinical rehabilitation needs regarding lower limbs are analysed in detail, forming the basis for the human–robot coordination of lower limb rehabilitation robots. Then, human–robot coordination is discussed in terms of three aspects: modelling, perception and control. Based on the reviewed research, the demand for robotic rehabilitation, modelling for human–robot coupling systems with new structures and assessment methods with different etiologies based on multi-mode sensors are discussed in detail, suggesting development directions of human–robot coordination and providing a reference for relevant research.

Keywords： human–robot coupling     lower limb rehabilitation     exoskeleton robot     motor assessment     dynamical model    

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A simplified method for investigating the bending behavior of piles supporting embankments on soft ground

Frontiers of Structural and Civil Engineering   Pages 1021-1032 doi: 10.1007/s11709-023-0952-3

Abstract: soil deformation mechanism and Poulos’ solution for pile–soil interaction to investigate the bending behaviorFurthermore, the effect of embedding a pile into a firm ground layer on the bending behavior was investigated

Keywords： bending behavior     pile     embankment     soil−structure interaction     failure mode    

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Weakening behavior of waterproof performance in joints of shield tunnels under adjacent constructions

Frontiers of Structural and Civil Engineering   Pages 884-900 doi: 10.1007/s11709-022-0912-3

Abstract: In this study, the weakening behavior of waterproof performance was investigated in the joints of shield

Keywords： shield tunnel     waterproof performance     horizontal transverse deformation     joint opening     weakening behavior    

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Title Author Date Type Operation

Novel interpretable mechanism of neural networks based on network decoupling method

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

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

Asurvey on complex dynamical networkswith impulsive effects

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

Journal Article

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

Journal Article

Dynamical analysis of droplet impact spreading on solid substrate

Zhaomiao LIU, Huamin LIU, Xin LIU,

Journal Article

Dynamical research on spherical micro actuator with piezoelectric ceramic stacks drivers

ZHANG Ruihua, CHEN Haichu

Journal Article

Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Journal Article

Flow behavior of non-spherical particle flowing in hopper

He TAO,Wenqi ZHONG,Baosheng JIN

Journal Article

Review of human–robot coordination control for rehabilitation based on motor function evaluation

Journal Article

A simplified method for investigating the bending behavior of piles supporting embankments on soft ground

Journal Article

Weakening behavior of waterproof performance in joints of shield tunnels under adjacent constructions

Journal Article