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A New Cooperative Distributed MPC Method Based on Reduction and Classification

Chinese Journal of Electronics 2017年第3期26卷 564-572页

作者： WU Lan WANG Lei College of Electrical Engineering Henan University of Technology Department of Electrical Engineering Hangzhou First Technician College

To decrease the overlarge calculation induced by the centralized processing,a new cooperative distributed Model predictive control(MPC)method is proposed for large-scale systems with coupled dynamics.Reduction and classification are investigated by defining the Influence degree to reduce the whole system and then to classify the reduced system into several subsystem groups.These groups are mutually decoupled,while there is relativity between these subsystems comprised in the same group.Centralized/cooperative and distributed MPC algorithms for each group are implemented to ensure the feasibility and the stability of the whole system.Meanwhile,for practical applications,the finite times interactive control strategy between different groups is adopted to compensate information loss brought by the reduced subsystem and realize the global cooperative distributed MPC.This algorithm significantly decreases the computational load,has better control performance.Simulations are given to illustrate the effectiveness of these developed algorithms.

关键词： Large-scale complex system Reduction and classification Influence degree Cooperative distributed Model predictive control(MPC)

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Importance Analysis on Subsystem of CNC Lathe Based on TOPSIS

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Journal of Beijing Institute of Technology 2017年第2期26卷 191-196页

作者： Xiaoyan Qi Guixiang Shen Yingzhi Zhang Shuguang Sun School of Mechanical Science and Technology Jilin University School of Aircraft and Dynamics Aviation University of Air Force College of Management Science and Engineering Shandong Normal University

An importance analysis model for computer numerical control（CNC）lathe subsystems was proposed.The model was based on technique for order preference by similarity to an ideal solution（TOPSIS）and considered the structure correlation between subsystems and the complete machine,the fault correlation of each subsystem and so on.The model can obtain a comprehensive sequencing of subsystems based on their importance to the complete machine.It lays a theoretical foundation for reliability allocation.

关键词： technique for order preference by similarity to an ideal solution （TOPSIS） importanceanalysis computer numerical control （CNC） lathe Influence degree

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Quantitative analysis of parameters’influence on the stability of coal roadway clamped by upper and lower soft rock with extra thickness

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International Journal of Modeling, Simulation, and Scientific Computing 2014年第2期5卷 25-39页

作者： Zenghui Zhao Weiming Wang Jixing Yan College of Civil Engineering of Shandong University of Science and Technology Qingdao Shandong 266590P.R.China

In this paper,a physical model of coal roadway which is clamped by upper and lower softrock with extra thickness was built according to the characteristics of soft rock strata in china's western mining area.Then,a series of orthogonal numerical experiments were carried out by selecting the strength and stiffness parameters of soft rock and coal seam as well as the in situ stress of soft rock strata as experimental factors and roadway displacements(convergence displacements of sides,displacement of roof to floor)as experimental indexes.By constructing the F statistics with different inspection levels,evaluation method for influence of the experimental factors on stability indexes were defined.Thus,Influence degrees of specified parameters on the stability of roadway were divided into five classes as follows:highly significant influence,significant influence,relatively significant influence,little significant influence,and no influence respectively which realize the quantitative analysis of the Influence degrees of experimental factors.The finite element calculation results showed that main failure mode of coal roadway that usually showed as tension failure of coal seam in roof and deformation factors of coal seam had the most remarkable effect on roadway displacements.The conclusions provide theoretical basis for further analysis of the mechanism of"roof burst"in roadway maintenance.

关键词： Upper and lower soft rock with extra thickness coal roadway orthogonal experiment stability Influence degree quantitative analysis

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Research on Effect of Heap Loading on Deformation and Mechanical Properties of Bridge Double Pile Foundation on Steep Slope

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Open Journal of Civil Engineering 2020年第2期10卷 117-130页

作者： Hao Luo Shanghai Maritime University Shanghai China

In order to analyze the deformation and stress characteristics of the pile foundation on the slope, this paper uses the finite element software Abaqus for numerical simulation. The displacement and stress data of pile under different working conditions (the combination of heap load and vertical load and horizontal load and inclined load) were collected;the distribution of pile displacement, axial force and bending moment were analyzed. Simulation results show that: slope top loading has little effect on vertical displacement; when the heap load exceeds 200 kPa, the horizontal displacement is greatly affected. Pile axial force decreases with pile burial depth;pile lateral resistance plays a more adequate role in the rock and soil layer. The bending moment of double pile foundation is positive at the top and negative at the bottom. Applied oblique load has obvious p-Δ effect.

关键词： High and Steep Slope Double Pile Foundation Numerical Modeling Heap Load Abaqus Influence degree

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消费经历对顾客满意感影响程度研究

市场营销（理论版）

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市场营销（理论版） 2008年第10期

作者：张均涛李春成李崇光

影响顾客满意程度的因素有哪些？各个因素通过何种路径来影响和决定顾客满意？这些问题是顾客满意研究的焦点。本文利用因子分析、多元线性回归分析等方法，对武汉市生鲜超市消费者调查所得数据进行实证分析。研究结果表明：①消费经历... 详细信息

影响顾客满意程度的因素有哪些？各个因素通过何种路径来影响和决定顾客满意？这些问题是顾客满意研究的焦点。本文利用因子分析、多元线性回归分析等方法，对武汉市生鲜超市消费者调查所得数据进行实证分析。研究结果表明：①消费经历是决定顾客满意程度的重要因素；②影响顾客满意感的消费经历是一个多维构念，包括商品消费经历、服务使用经历、购物便利性体验、购物环境体验四类；不同消费经历对顾客满意感的影响程度不同，其中商品消费经历是最重要的影响因素。本文的研究对丰富顾客满意的理论研究和推动农产品营销实践具有一定现实意义。

关键词：消费经历顾客满意影响程度 consumption experience customer satisfaction Influence degree

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