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Non-intrusive hybrid interval method for uncertain nonlinear systems using derivative information

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Acta Mechanica Sinica 2016年第1期32卷 170-180页

作者： zhuang-zhuang Liu Tian-ShuWang Jun-Feng Li School of Aerospace Tsinghua University

This paper proposes a new non-intrusive hybrid interval method using derivative information for the dynamic response analysis of nonlinear systems with uncertain-but- bounded parameters and/or initial conditions. This method provides tighter solution ranges compared to the existing polynomial approximation interval methods. Interval arith- metic using the Chebyshev basis and interval arithmetic using the general form modified affine basis for polynomials are developed to obtain tighter bounds for interval computation. To further reduce the overestimation caused by the ＂wrap- ping effect＂ of interval arithmetic, the derivative information of dynamic responses is used to achieve exact solutions when the dynamic responses are monotonic with respect to all the uncertain variables. Finally, two typical numerical examples with nonlinearity are applied to demonstrate the effective- ness of the proposed hybrid interval method, in particular, its ability to effectively control the overestimation for specific timepoints.

关键词： Non-intrusive hybrid interval method Dynamic response analysis Uncertain nonlinear systems Polynomial approximation Interval arithmetic Derivative information

A　CONVENIENT　APPROACH　TO　THE　SYNTHESIS　OF　A　BIOACTIVE　CONSTITUENT　OF　THE　HYPOXIS　ROOPERI　AND　ITS　HOMOLOGUE

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Chinese Chemical Letters 1996年第3期7卷 225-228页

作者： Liu, L Liu, ZY Yu, JM Shan, sx SICHUAN UNIV DEPT BIOTECHNOLCHENGDU 610064PEOPLES R CHINA LUZHOU MED COLL DEPT CHEMLUZHOU 64600SICHUANPEOPLES R CHINA

A bioactive constituent (E)-1, 5-his (3'4'-driethoxyphenyl) pent-4-en-1-yne from theHypoxis rooperi and its bomologue, were convebotly synthesized through the copper(I) catalyst couplingreaction of terminal alkyne und... 详细信息

关键词： ITS HOMOLOGUE ROOPERI AND APPROACH

Cyclic Deformation and Fatigue Damage Behavior of Cu Monocrystals, Bicrystals and Tricrystals

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Journal of Materials Science & Technology 1999年第6期15卷 489-508页

作者： Wang, ZG Li, XW Zhang, ZF Jia, WP Li, sx Chinese Acad Sci Inst Met Res State Key Lab Fatigue & Fracture Mat Shenyang 110015 Peoples R China

In the present work, the cyclic deformation behavior of Cu single crystals oriented for double- and multiple slip as well as Cu bicrystals and tricrystals was investigated under constant plastic strain control at room temperature in air. The main objectives of the study are: (1) to find out the effects of crystallographic orientation and grain boundary (GB) on the cyclic stress-strain (CSS) curves; (2) to compare the cyclic deformation behavior of the double-, multiple-slip crystals, bicrystals and tricrystals with that of single-slip oriented crystals and to correlate the results with those of polycrystals; (3) to examine the corresponding dislocation structures; (4) to investigate the interactions of persistent slip bands (PSBs) with GBs and triple joint (TJ) as well as intergranular fatigue cracking in Cu bicrystals and tricrystals.

关键词： Crystals

A dynamic algorithm for trust inference based on double DQN in the internet of things

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Digital Communications and Networks 2024年第4期10卷 1024-1034页

作者： Xiaodong zhuang Xiangrong Tong School of Computer and Control Engineering Yantai UniversityYantai264005China

The development of the Internet of Things(IoT)has brought great convenience to ***,some information security problems such as privacy leakage are caused by communicating with risky *** is a challenge to choose reliable users with which to interact in the ***,trust plays a crucial role in the IoT because trust may avoid some *** usually choose reliable users with high trust to maximize their own interests based on reinforcement ***,trust propagation is time-consuming,and trust changes with the interaction process in social *** track the dynamic changes in trust values,a dynamic trust inference algorithm named Dynamic Double DQN Trust(Dy-DDQNTrust)is proposed to predict the indirect trust values of two users without direct contact with each *** proposed algorithm simulates the interactions among users by double ***,CurrentNet and TargetNet networks are used to select users for *** users with high trust are chosen to interact in future ***,the trust value is updated dynamically until a reliable trust path is found according to the result of the ***,the trust value between indirect users is inferred by aggregating the opinions from multiple users through a Modified Collaborative Filtering Averagebased Similarity(SMCFAvg)aggregation *** are carried out on the FilmTrust and the Epinions *** with TidalTrust,MoleTrust,DDQNTrust,DyTrust and Dynamic Weighted Heuristic trust path Search algorithm(DWHS),our dynamic trust inference algorithm has higher prediction accuracy and better scalability.

关键词： Internet of things Information security Reinforcement learning Trust propagation Trust inference

Performance and recent improvement in microbial fuel cells for simultaneous carbon and nitrogen removal: A review

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Journal of Environmental Sciences 2016年第1期28卷 242-248页

作者： Haishu Sun Shengjun Xu Guoqiang zhuang Xuliang zhuang Research Center for Eco-Environmental Sciences Chinese Academy of Sciences

Microbial fuel cells（MFCs） have become a promising technology for wastewater treatment accompanying electricity generation. Carbon and nitrogen removal can be achieved by utilizing the electron transfer between the anode and cathode in an MFC. However,large-scale power production and high removal efficiency must be achieved at a low cost to make MFCs practical and economically competitive in the future. This article reviews the principles, feasibility and bottlenecks of MFCs for simultaneous carbon and nitrogen removal, the recent advances and prospective strategies for performance improvement, as well as the involved microbes and electron transfer mechanisms.

关键词： Microbial fuel cells Wastewater treatment Electricity generation Simultaneous carbon and nitrogen removal Electron transfer

Conductive MOFs with Photophysical Properties:Applications and Thin-Film Fabrication

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Nano-Micro Letters 2020年第10期12卷 132-163页

作者： Zeyu zhuang Dingxin Liu Skate Key Laboratory of Optoelectronic Materials and Technologies Nanotechnology Research CenterSchool of Materials Science and EngineeringSun Yat-Sen UniversityGuangzhou 510275People’s Republic of China

Metal-organic frameworks(MOFs)are a class of hybrid materials with many promising *** recent years,lots of investigations have been oriented toward applications of MOFs in electronic and photoelectronic *** many high-quality reviews have focused on synthesis and mechanisms of electrically conductive MOFs,few of them focus on their photophysical ***,we provide an in-depth review on photoconductive and photoluminescent properties of conductive MOFs together with their corresponding applications in solar cells,luminescent sensing,light emitting,and so *** integration of MOFs with practical devices,recent advances in fabrication of photoactive MOF thin films are also summarized.

关键词： Metal-organic frameworks Photoconductivity Photoluminescence Thin films

Multiscale computation on feedforward neural network and recurrent neural network

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Frontiers of Structural and Civil Engineering 2020年第6期14卷 1285-1298页

作者： Bin LI Xiaoying zhuang Department of Geotechnical Engineering Tongji UniversityShanghai 200092China

Homogenization methods can be used to predict the effective macroscopic properties of materials that are heterogenous at micro-or *** existing methods for homogenization,computational homogenization is widely used in multiscale analyses of structures and *** computational homogenization suffers from long computing times,which substantially limits its application in analyzing engineering *** neural networks can be used to construct fully decoupled approaches in nonlinear multiscale methods by mapping macroscopic loading and microscopic *** homogenization methods for nonlinear material and implementation of offline multiscale computation are studied to generate data *** article intends to model the multiscale constitution using feedforward neural network(FNN)and recurrent neural network(RNN),and appropriate set of loading paths are selected to effectively predict the materials behavior along unknown *** to two-dimensional multiscale analysis are tested and discussed in detail.

关键词： multiscale method constitutive model feedforward neural network recurrent neural network

Boundary Control of Coupled Non-Constant Parameter Systems of Time Fractional PDEs with Different-Type Boundary Conditions

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Journal of Systems Science & Complexity 2023年第1期36卷 273-293页

作者： CHEN Juan zhuang Bo Aliyun School of Big Data Changzhou UniversityChangzhou 213164China School of Information Engineering Binzhou UniversityBinzhou 256600China

This paper addresses a boundary state feedback control problem for a coupled system of time fractional partial differential equations(PDEs)with non-constant(space-dependent)coefficients and different-type boundary conditions(BCs).The BCs could be heterogeneous-type or ***,this coupled system has different BCs at the uncontrolled side for heterogeneous-type and the same BCs at the uncontrolled side for *** main contribution is to extend PDE backstepping to the boundary control problem of time fractional PDEs with space-dependent parameters and different-type *** the backstepping transformation and the fractional Lyapunov method,the Mittag-Leffler stability of the closed-loop system is obtained.A numerical scheme is proposed to simulate the fractional case when kernel equations have not an explicit solution.

关键词： Boundary control coupled systems heterogeneous mittag-leffler stability time fractional PDEs with space-dependent coefficients

A novel fractional uplink power control framework for self-organizing networks

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Digital Communications and Networks 2023年第6期9卷 1434-1440页

作者： Zezhou Luo Hongcheng zhuang Wireless Technology Innovation Center Guangdong Communications and Networks InstituteShenzhen510663China School of Electronics and Communication Engineering SUN YAT-SEN UniversityShenzhen518107China

Internet of things and network densification bring significant challenges to uplink *** depending on optimization algorithm enhancements is not enough for uplink *** control intercell interference,Fractional Uplink Power Control(FUPC)should be optimized from network-wide perspective,which has to find a better traffic distribution ***,traffic distribution is geographic-based,and ineffective due to tricky locating *** paper proposes a novel uplink power management framework for Self-Organizing Networks(SON),which firstly builds up pathloss-based traffic distribution model and then makes the decision of FUPC based on the ***-based Traffic Distribution(PLTD)aggregates traffic based on the propagation condition of traffic that is defined as the pathloss between the position generating the traffic and surrounding *** show that the improvement in optimization efficiency of FUPC with PLTD can be up to 40%compared to conventional GeoGraphic-based Traffic Distribution(GGTD).

关键词： 5G and beyond Self-organizing networks Uplink power control Optimization efficiency Traffic distribution