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Smooth tracking control for conversionmode of a tilt-rotor aircraft with switching modeling Research Article

Kebi LUO, Shuang SHI, Cong PENG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1591-1600 doi: 10.1631/FITEE.2300266

Abstract: This paper investigates the problem in conversion mode of a with a switching modeling method and a technique. Based on the nonlinear model of the conversion mode, a switched linear model is developed by using the Jacobian linearization method and designing the switching signal based on the mast angle. Furthermore, an scheme is designed to deal with the conversion mode control issue. Moreover, instead of limiting the amplitude of control inputs, a method is developed to create bumpless performance. Finally, the XV-15 is chosen as a prototype to illustrate the effectiveness of this developed control method.

Keywords： Tilt-rotor aircraft     State-tracking control     Switched linear systems     Time-scheduled multiple Lyapunovfunction approach     Smooth interpolation    

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A super-element approach for structural identification in time domain

LI Jie, ZHAO Xin

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 215-221 doi: 10.1007/s11465-006-0004-4

Abstract: For most time-domain identification methods, a complete measurement for unique identification resultsA super-element approach is proposed in this study to identify the structural parameters of a large-scalestructure in the time domain.The most interesting feature of the proposed super-element approach is its divide-and-conquer abilityThe super-element model used for time domain identification is first discussed in this study.

Keywords： numerical     effective decomposing     parameterization procedure     divide-and-conquer ability     time-domain identification    

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Aneffective approach for low-complexity maximumlikelihood based automatic modulation classification of Article

Maqsood H. SHAH, Xiao-yu DANG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 465-475 doi: 10.1631/FITEE.1800306

Abstract: low-complexity likelihood methodology is proposed for automatic modulation classification of orthogonal space-timeblock code (STBC) based multiple-input multiple-output (MIMO) systems.The proposed approach is analyzed for blind channel scenarios when the receiver has imperfect channelAlamouti-STBC systems with 2 ×2 and 2 ×1 and space-time transmit diversity with a 4 ×4 transmit and receiveantenna configuration are considered to verify the proposed approach.

Keywords： Multiple-input multiple-output     Space-time block code     Maximum likelihood     Automatic modulation classification    

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Sustainability of steel structures: towards an integrated approach to life-time engineering design

Raffaele LANDOLFO, Lucrezia CASCINI, Francesco PORTIOLI

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3,   Pages 304-314 doi: 10.1007/s01709-011-0123-9

Abstract: Indeed the current trend in civil engineering research is moving towards life-time engineering, withimplement integrated methodologies to consider as a whole all the sustainability requirements according to time-dependentof the concept of sustainability applied to constructions, this paper presents an overview of life-timemetal structures with respect to the degradation phenomena able to impair the structural capacity over timeFinally a proposal towards an integrated approach to life-time engineering design of steel structures

Keywords： sustainability     life-time engineering     performance based design     durability     metal structures    

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Data-driven approach to solve vertical drain under time-dependent loading

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 696-711 doi: 10.1007/s11709-021-0727-7

Abstract: Currently, the vertical drain consolidation problem is solved by numerous analytical solutions, such as time-dependentsolutions and linear or parabolic radial drainage in the smear zone, and no artificial intelligence (AI) approachand DNN–GA prediction models with three different radial drainage patterns in the smear zone under time-dependentmeasurements from three full-scale embankment tests revealed promising applications of the proposed approach

Keywords： vertical drain     artificial neural network     time-dependent loading     deep learning network     genetic algorithm    

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Optimization of WEDM process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility concept

Rupesh CHALISGAONKAR, Jatinder KUMAR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 201-214 doi: 10.1007/s11465-013-0256-8

Abstract: process were conducted under varying experimental conditions of process parameters, such as pulse on time(Ton), pulse off time(Toff), peak current (IP), wire feed (WF), wire tension (WT

Keywords： wire electro-discharge machining (WEDM)     Taguchi method     analysis of variance (ANOVA)     utility concept     cutting speed (CS)     surface roughness (SR)    

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Improved numerical method for time domain dynamic structure-foundation interaction analysis based on

DU Jianguo, LIN Gao

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 336-342 doi: 10.1007/s11709-008-0054-2

Abstract: Based on the reduced set of base function in scaled boundary finite element method (SBFEM), an improved timedomain numerical approach for the dynamic structure-foundation interaction analysis was proposed.The results of this proposed approach applied to the calculation of a gravity dam and an arch dam.It may be concluded that the proposed approach is suitable for large-scale structure-foundation interaction

Keywords： structure-foundation interface     computational efficiency     different     suitable     numerical approach    

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Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Frontiers in Energy 2018, Volume 12, Issue 3,   Pages 426-439 doi: 10.1007/s11708-018-0560-4

Abstract: innovation in smart energy monitoring technologies, the identification of appropriate methods for detailed time-seriesThe real-time SEMS data and time-series clustering to explore similarities in electricity consumption

Keywords： electricity monitoring     electricity demand prediction     multiple-variable time-series modeling     time-series    

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The V－BLAST Detection for MIMO MC－CDMA System

Yang Jie,Feng Guangzeng

Strategic Study of CAE 2007, Volume 9, Issue 1,   Pages 58-62

Abstract:

This paper investigates V-BLAST MC-CDMA down link.A V-BLAST detector per subcarrier is proposed for MIMO MC-CDMA system in this paper and the system performance with var ious numbers of V -BLAST antennas and users for such a system is evaluated throu gh simulations.

Keywords： multiple input multiple output(MIMO)     orthogonal frequency division multiplexing(OFDM)     layered space唱time    

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Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 338-347 doi: 10.1631/FITEE.1500359

Abstract: resource-constrained multi-product scheduling problem for an automated guided vehicle (AGV) served flow shop, where multiplescheduling treated in terms of optimization of the AGVs fleet scheduling problem subject to fuzzy operation timeIn the considered case, both production takt and operation execution time are described by impreciseThe aim of the paper is to present a constraint propagation (CP) driven approach to multi-robot taskIllustrative examples taking into account an uncertain specification of robots and workers operation time

Keywords： Automated guided vehicles (AGVs)     Scheduling     Multimodal process     Fuzzy constraints     Optimization    

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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: ., model predictive control, can offer superior control of key process variables for multiple-input multiple-outputarticulates an integrated system identification procedure for deriving black-box nonlinear continuous-timemultiple-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

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machine    

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Controllability of Boolean control networks with multiple time delays in both states and controls Research Article

Yifeng LI, Lan WANG,liyifeng@cqnu.edu.cn,wanglan202212@126.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 906-915 doi: 10.1631/FITEE.2200618

Abstract: In this paper, the problem of of (BCNs) with multiple s in both states and controls is investigatedFirst, the problem of BCNs with multiple s in controls is considered.Then, the of BCNs with multiple s in states is studied by giving a necessary and sufficient conditionSubsequently, based on these results, a matrix for BCNs with multiple s in both states and controls

Keywords： Boolean control networks     Semi-tensor product of matrices     Controllability     Time delay    

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Regional seismic-damage prediction of buildings under mainshock–aftershock sequence

Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 122-134 doi: 10.1007/s42524-019-0072-x

Abstract: under a mainshock–aftershock (MS–AS) sequence is proposed in this study based on city-scale nonlinear time-history

Keywords： regional seismic damage prediction     city-scale nonlinear time-history analysis     mainshock–aftershock sequence     multiple degree-of-freedom (MDOF) model     2014 Ludian earthquake    

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An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 277-291 doi: 10.1007/s11708-021-0731-6

Abstract: surrogate fuels was proposed with the application of a machine learning method, named the Bayesian multipleThe BMKL model provides an accurate and low-cost approach to assess surrogate performances of diesel,

Keywords： sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate    

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A rectangle bin packing optimization approach to the signal scheduling problem in the FlexRay static

Rui ZHAO,Gui-he QIN,Jia-qiao LIU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 375-388 doi: 10.1631/FITEE.1500232

Abstract: As FlexRay communication protocol is extensively used in distributed real-time applications on vehiclesscheduling in FlexRay network becomes a critical issue to ensure the safe and efficient operation of time-criticalIn this study, we propose a rectangle bin packing optimization approach to schedule communication signalsThe proposed approach, which is based on integer linear programming (ILP), supports both the slot assignmentby the latest version of the FlexRay specification, namely, the single sender slot multiplexing, and multiple

Keywords： FlexRay     Real-time applications     Rectangle bin packing     Schedule optimization     Slot multiplexing    

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Title Author Date Type Operation

Smooth tracking control for conversionmode of a tilt-rotor aircraft with switching modeling

Kebi LUO, Shuang SHI, Cong PENG

Journal Article

A super-element approach for structural identification in time domain

LI Jie, ZHAO Xin

Journal Article

Aneffective approach for low-complexity maximumlikelihood based automatic modulation classification of

Maqsood H. SHAH, Xiao-yu DANG

Journal Article

Sustainability of steel structures: towards an integrated approach to life-time engineering design

Raffaele LANDOLFO, Lucrezia CASCINI, Francesco PORTIOLI

Journal Article

Data-driven approach to solve vertical drain under time-dependent loading

Journal Article

Optimization of WEDM process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility concept

Rupesh CHALISGAONKAR, Jatinder KUMAR

Journal Article

Improved numerical method for time domain dynamic structure-foundation interaction analysis based on

DU Jianguo, LIN Gao

Journal Article

Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Journal Article

The V－BLAST Detection for MIMO MC－CDMA System

Yang Jie,Feng Guangzeng

Journal Article

Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Journal Article

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

Journal Article

Controllability of Boolean control networks with multiple time delays in both states and controls

Yifeng LI, Lan WANG,liyifeng@cqnu.edu.cn,wanglan202212@126.com

Journal Article

Regional seismic-damage prediction of buildings under mainshock–aftershock sequence

Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG

Journal Article

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Journal Article

A rectangle bin packing optimization approach to the signal scheduling problem in the FlexRay static

Rui ZHAO,Gui-he QIN,Jia-qiao LIU

Journal Article