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Knowledge-Based Variable Structure Decoupling Control of a Nonlinear Multivariable System

Tu Chengyuan,Zeng Yanjun

Strategic Study of CAE 2001, Volume 3, Issue 10,   Pages 48-52

Abstract:

A knowledge-based variable-structure decoupling is developed, and be utilized to control a nonlinearmodel-establishing process, especially avoid large amount of complex matrix operations required for the conventional decouplingSome modules in the knowledge base of this kind of control are described, and the main points of the

Keywords： nonlinear multivariable system     decoupling control     knowledge based variable structure decoupling    

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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: We propose a general mathematical framework, which couples the complex structure of the system with theResult 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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Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base

Yang Bingru,Shen Jiangtao,Chen Hongjie

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 49-54

Abstract:

Knowledge discovery in knowledge base (KDK) is a brand-new task.to the solving of the bottleneck of machine study—discovering knowledge.The main work of this paper is： The inductive structure of KDK based on the facts in knowledge base,and its algorithm and experimental verification; The inductive structure algorithm of KDK for the rulesin knowledge base and its experimental verification.

Keywords： knowledge discovery based on knowledge base     induction logic of Carnap     induction logic of L. J.    

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Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlo

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 517-537 doi: 10.1007/s11465-020-0589-z

Abstract: presents a dynamic and static error transfer model and uncertainty evaluation method for a high-speed variable-slitsystem based on a two-dimensional orthogonal double-layer air-floating guide rail structure.First, an error transfer model of the high-speed variable-slit system is established, and the influence

Keywords： air-floating guide rail     error transfer model     driving and following structure     dynamic error     uncertainty    

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Mechanical design and analysis of a novel variable stiffness actuator with symmetrical pivot adjustment

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 711-725 doi: 10.1007/s11465-021-0647-1

Abstract: Thus, this paper aims to design a novel variable stiffness actuator (VSA) that can provide safer physicalVSA follows the idea of modular design, mainly including a variable stiffness module and a drive modulestructure is applied to change the positions of a pair of pivots in two levers linearly and simultaneously, which can eliminate the additional bending moment caused by the asymmetric structure.facilitate building a manipulator in the future, an expandable electrical system with a distributed structure

Keywords： variable stiffness actuator     variable stiffness module     drive module     symmetrical structure     double-deck    

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A neural network-based production process modeling and variable importance analysis approach in corn

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3,   Pages 358-371 doi: 10.1007/s11705-022-2190-y

Abstract: However, it’s hard to upgrade or optimize the process based on mechanism unit operation models due toIn this paper, a neural network-based production process modeling and variable importance analysis approachdimensionality reduction, multilayer perceptron/convolutional neural network/recurrent neural network basedUltimately, variable importance analysis is carried out by the extended weight connection method, andwork are of significant aid in process simulation model with high accuracy and process optimization based

Keywords： big data     corn to sugar factory     neural network     variable importance analysis    

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Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 136-143 doi: 10.15302/J-FEM-2016030

Abstract: In this paper, an application mode and method of knowledge management in remanufacturing engineeringmanagement is established based on Nonaka’s SECI model.The relationships between knowledge transfer, knowledge sharing and remanufacturing engineering managementIt is noticeable that a great deal of knowledge transfer and sharing activities, which can improve the

Keywords： remanufacturing     engineering management     knowledge transfer and sharing     knowledge management    

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Study of the Variable Load While Estimating Existing Bridge Structure

Suo Qinghui,Qian Yongjiu,Zhang Fang

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 52-55

Abstract:

On the basis of design load in force, the revised factors of variable load used in estimating existingThe theory of time-dependent ability is adopted to evaluate the residual service life of structure anda method is adopted to revise the variable load.

Keywords： bridge structure     variable load     equal exceeding probability     time-dependent ability     re-service life    

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New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 238-247 doi: 10.1007/s42524-019-0062-z

Abstract: Intelligent knowledge management emphasizes human–machine integration, which combines the advantagesThus, we proposed a new technology foresight method based on intelligent knowledge management.

Keywords： technology foresight     intelligent knowledge management     technological online platform    

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A bionic approach for the mechanical and electrical decoupling of an MEMS capacitive sensor in ultralow

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0747-1

Abstract: In this work, a bionic swallow structure design norm was developed for mechanical decoupling, and theElectrostatic instability was evaluated, and electrostatic decoupling performance was verified on theAn electrostatic pulling experiment showed that the bionic swallow structure hardly moved by 0.770 nmBased on the proposed bionic decoupling method, the fabricated sensor exhibited overwhelming capacitive

Keywords： micro-electro-mechanical system capacitive sensor     bionics     operation instability     mechanical and electrical decoupling    

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A novel decoupling approach to an integrated optical-fiber proximity sensor for robots

LIU Guixiong, LI Xiani

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 164-167 doi: 10.1007/s11465-007-0027-5

Abstract: The structure and the working principle of a self-compensational integrated optical-fiber proximity sensorThe corresponding decoupling approach to the sensor is presented on the basis of multiscale characteristicsThe decoupling process can be divided into two parts: classifying the information on the basis of the

Keywords： multiscale     different     self-compensational integrated     information     implementation    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Frontiers of Engineering Management   Pages 486-498 doi: 10.1007/s42524-022-0215-3

Abstract: In this study, we build a power consumption carbon emission measurement model based on the operatingWe use the decomposition and decoupling technology of logarithmic mean Divisia index method to quantifysix effects (emission intensity, power generation structure, consumption electricity intensity, economicscale, population structure, and population scale) and comprehensively reflect the degree of dependenceMoreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and

Keywords： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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Knowledge-based competitive strategy using direct customer experience for automobile product development

Peter HODGES, Shuh Yuan LIOU,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 33-46 doi: 10.1007/s11465-009-0080-3

Abstract: Expertise in integration requires attention to knowledge management, which is crucial for competitive

Keywords： product development     strategy     knowledge management    

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Adjusting Industrial Structure and Reducing Carbon Emission Intensity: International Comparison and Experience

Guo Shiyi, Liu Wenqiang, Zhao Weidong

Strategic Study of CAE 2021, Volume 23, Issue 6,   Pages 22-32 doi: 10.15302/J-SSCAE-2021.06.010

Abstract: justify;">Developed countries have reduced their carbon emission intensity by adjusting industrial structurechanges of total carbon emission, carbon emission per capita, carbon emission intensity, and industrial structurein major developed countries, thus to obtain their experience regarding adjusting industrial structurecultivates emerging industries and develops digital economy to optimize and upgrade its industrial structure

Keywords： industrial structure     carbon emission intensity     carbon emissions per capita     international comparison     decoupling    

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Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy TemporalKnowledge Reasoning” 

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2017, Volume 3, Issue 1,   Pages 150-150 doi: 10.1016/J.ENG.2017.01.002

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Title Author Date Type Operation

Knowledge-Based Variable Structure Decoupling Control of a Nonlinear Multivariable System

Tu Chengyuan,Zeng Yanjun

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base

Yang Bingru,Shen Jiangtao,Chen Hongjie

Journal Article

Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlo

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Journal Article

Mechanical design and analysis of a novel variable stiffness actuator with symmetrical pivot adjustment

Journal Article

A neural network-based production process modeling and variable importance analysis approach in corn

Journal Article

Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Journal Article

Study of the Variable Load While Estimating Existing Bridge Structure

Suo Qinghui,Qian Yongjiu,Zhang Fang

Journal Article

New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

Journal Article

A bionic approach for the mechanical and electrical decoupling of an MEMS capacitive sensor in ultralow

Journal Article

A novel decoupling approach to an integrated optical-fiber proximity sensor for robots

LIU Guixiong, LI Xiani

Journal Article

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Journal Article

Knowledge-based competitive strategy using direct customer experience for automobile product development

Peter HODGES, Shuh Yuan LIOU,

Journal Article

Adjusting Industrial Structure and Reducing Carbon Emission Intensity: International Comparison and Experience

Guo Shiyi, Liu Wenqiang, Zhao Weidong

Journal Article

Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy TemporalKnowledge Reasoning” 

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Journal Article