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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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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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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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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: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide application. We propose a general mathematical framework, which couples the complex structure of the system with the nonlinear activation function to explore the decoupled dimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural network. We apply our framework to some network models and a real system of the whole neuron map of Caenorhabditis elegans. Result shows that a simple linear mapping relationship exists between network structure and network behavior in the neural network with high-dimensional and nonlinear characteristics. Our simulation and theoretical results fully demonstrate this interesting phenomenon. Our new interpretation mechanism provides not only the potential mathematical calculation principle of neural network but also an effective way to accurately match and predict human brain or animal activities, which can further expand and enrich the interpretable mechanism of artificial neural network in the future.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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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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Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 131-148 doi: 10.1007/s11708-017-0446-x

Abstract: In this paper, a novel topology of an intelligent hybrid generation system with PV and wind turbine isIn order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) methodThe average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentageDetailed mathematical model and a control approach of a three-phase grid-connected intelligent hybrid

Keywords： photovoltaic     wind turbine     hybrid system     fuzzy logic controller     genetic algorithm     RBFNSM    

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Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: The weight factor is adaptively determined according to the hybrid error metric, which combines global

Keywords： metamodel     ensemble of metamodels     hybrid error measure     stochastic problem    

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Design method and verification of a hybrid prosthetic mechanism with energy-damper clutchable device

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 747-764 doi: 10.1007/s11465-021-0644-4

Abstract: A hybrid transfemoral prosthetic (HTP) mechanism with multigait functions is proposed to recover the

Keywords： hybrid transfemoral prosthetic mechanism     energy recycling     wearable mechanical clutched device     mechanical    

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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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Diffusion process in enzyme–metal hybrid catalysts

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 921-929 doi: 10.1007/s11705-022-2144-4

Abstract: Enzyme–metal hybrid catalysts bridge the gap between enzymatic and heterogeneous catalysis, which isPrevious studies have demonstrated that the enzyme–metal hybrid catalysts exhibited considerably higherHere, we investigated the diffusion process in enzyme–metal hybrid catalysts using Pd/lipase-PluronicThereafter, a kinetic model was developed and fitted to describe the proximity effect in hybrid catalystsResults indicated that the enhanced catalytic efficiency of hybrid catalysts may arise from the decreased

Keywords： enzyme–metal hybrid catalyst     internal diffusion     proximity effect     kinetic model    

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Powertrain control of a solar photovoltaic-battery powered hybrid electric vehicle

P. PADMAGIRISAN, V. SANKARANARAYANAN

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 296-306 doi: 10.1007/s11708-018-0605-8

Abstract: This paper proposes a powertrain controller for a solar photovoltaic battery powered hybrid electric

Keywords： battery management system     hybrid electric vehicles (HEVs)     maximum power point tracking (MPPT)     solar photovoltaic    

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Title Author Date Type Operation

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

GUO Lei, HAO Zhiyong, XU Hongmei, LIU Lianyun

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

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

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Dynamical analysis of droplet impact spreading on solid substrate

Zhaomiao LIU, Huamin LIU, Xin LIU,

Journal Article

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Journal Article

Robust ensemble of metamodels based on the hybrid error measure

Journal Article

Design method and verification of a hybrid prosthetic mechanism with energy-damper clutchable device

Journal Article

Dynamical research on spherical micro actuator with piezoelectric ceramic stacks drivers

ZHANG Ruihua, CHEN Haichu

Journal Article

Diffusion process in enzyme–metal hybrid catalysts

Journal Article

Powertrain control of a solar photovoltaic-battery powered hybrid electric vehicle

P. PADMAGIRISAN, V. SANKARANARAYANAN

Journal Article