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Classical state feedback controller for nonlinear systems using mean value theorem: closed loop-FOC of

Abrar ALLAG,Abdelhamid BENAKCHA,Meriem ALLAG,Ismail ZEIN,Mohamed Yacine AYAD

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 413-425 doi: 10.1007/s11708-015-0379-1

Abstract: The problem of state feedback controllers for a class of Takagi-Sugeno (T-S) Lipschitz nonlinear systemsconvex combination of known matrices with time varying coefficients as linear parameter varying (LPV) systems

Keywords： Takagi-Sugeno (T-S) fuzzy systems     sector nonlinearity     nonlinear controller     linear matrix inequality (    

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Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 65-68

Abstract: A novel predictive functional control strategy based on Takagi-Sugeno fuzzy model was developed in orderto settie the difficulty to control HVAC systems.The T - S fuzzy model of controlled process was obtained using the least squares method, then basingon the fuzzy T - S global linear predictive model, the process was controlled by the predictive functionalFinally, the simulation results in HVAC systems control application showed that the proposed fuzzy model

Keywords： T-S fuzzy model     predictive functional control     least squares method     HVAC systems    

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A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 546-558 doi: 10.1007/s11465-021-0639-1

Abstract: comprehensively studied the interactions among damage conditions and quality requirements that involve uncertain, fuzzyHence, this challenge in the context of uncertain, fuzzy information is undertaken in this paper, andThe solution is provided through an improved Takagi–Sugeno fuzzy neural network (T-S FNN) method.Results show that the training speed and accuracy of the improved T-S FNN method are 23.5% and 82.5%

Keywords： remanufacturing     uncertain and fuzzy information     process planning     T-S FNN    

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Application of metal oxides-based nanofluids in PV/T systems: a review

Frontiers in Energy 2022, Volume 16, Issue 3,   Pages 397-428 doi: 10.1007/s11708-021-0758-8

Abstract: energy technologies, in recent years, many researchers tried to increase the performance of the PV/T/sub>, SiO2, Fe3O4, CuO, ZnO, MgO)-based NFs performance in the PV/TAdditionally, studies suggest that the PV cell’s efficiency of up to 30% can be enhanced by using a solarsystems.Finally, the opportunities and challenges of using NFs in PV/T systems are also discussed.

Keywords： metal oxide     nanofluids (NFs)     nanoparticles (NPs)     optical filter     PV/T systems     solar energy    

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Higher Performance Seismic Structures for Advanced Cities and Societies

Jiro Takagi, Akira Wada

Engineering 2019, Volume 5, Issue 2,   Pages 184-189 doi: 10.1016/j.eng.2018.11.023

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Unified power quality conditioner based on a three-level NPC inverter using fuzzy control techniques

Salim CHENNAI,M-T BENCHOUIA

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 221-239 doi: 10.1007/s11708-014-0317-7

Abstract: unified power quality conditioner (UPQC) based on three-level neutral point clamped (NPC) inverter using fuzzyTo improve the UPQC capability, fuzzy logic techniques are introduced to control the series APF.

Keywords： point clamped (NPC) inverter     unified power quality conditioner (UPQC)     current harmonics mitigation     fuzzy    

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Requirements in performance measurement systems of construction projects from the lean production perspective

BARTH, Carlos T. FORMOSO

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 442-455 doi: 10.1007/s42524-020-0108-2

Abstract: Despite its importance, limited studies have been conducted on the use of PM systems for assessing theThis study proposes a set of requirements in PM systems of construction projects from the perspectiveof lean production and a taxonomy of performance metrics for lean production systems.out on construction companies from South America involved in the implementation of lean production systemsThe scope of this investigation is limited to the construction projects as production systems rather

Keywords： performance measurement     lean construction     production management     continuous improvement     metrics    

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Resiliency of steel and composite structures

Roberto T. LEON,Yu GAO

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 3,   Pages 239-253 doi: 10.1007/s11709-016-0349-7

Abstract: introduction to the other six papers that form part of this issue related to resiliency of steel structural systems

Keywords： steel structures     resiliency     sustainability     recentering systems     shape memory alloys    

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Finite element analysis and structural design of pretensioned inverted T-beams with web openings

Hock Tian CHENG, Bashar S. MOHAMMED, Kamal Nasharuddin MUSTAPHA

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 148-157 doi: 10.1007/s11709-009-0030-5

Abstract: project aimed at providing standard circular web openings to the popular precast pretensioned inverted T-beamIn this paper the nonlinear analysis and design of simply supported pretensioned inverted T-beam withnonlinear finite element analysis were substantiated by test results from five pretensioned inverted T-beamsA simple design method for pretensioned inverted T-beam with circular web openings is proposed.

Keywords： prestressed concrete     inverted-T beam     web opening    

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Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

Sathish KUMAR, T. JAYABARATHI

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 394-402 doi: 10.1007/s11708-012-0211-0

Abstract: This paper investigates the capability of support vector machines (SVM) for prediction of fault classification and the use of the concept of equivalent capacity margin (ECM) for restoration of the power system. The SVM, as a novel type of machine learning based on statistical learning theory, achieves good generalization ability by adopting a structural risk minimization (SRM) induction principle aimed at minimizing a bound on the generalization error of a model rather than the minimization of the error on the training data only. Here, the SVM has been used as a classification. The inputs of the SVM model are power and voltage values. An equation has been developed for the prediction of the fault in the power system based on the developed SVM model. The next steps of this paper are the restoration and reconfiguration by using the ECM concept, the development of a code, and the testing of the results with various load outages, which have been executed for a 12 load system.

Keywords： support vector machines (SVM)     structural risk minimization (SRM)     equivalent capacity margin (ECM)     restoration     fault classification    

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Life cycle cost savings analysis on traditional drainage systems from low impact development strategies

Pengfei ZHANG, Samuel T. ARIARATNAM

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 88-97 doi: 10.1007/s42524-020-0063-y

Abstract: Conventional drainage systems were built to mimic natural drainage patterns to prevent the occurrenceThese drainage systems consist of two major components: 1) a stormwater conduit system, and 2) a runoffRunoff storage systems contain retention basins and drywells that are used to store and percolate runoff, whereas conduit systems are combination of catch basins and conduit pipes used to collect and transportThe construction of these drainage systems is costly and may cause significant environmental disturbance

Keywords： low impact development     traditional drainage system     hydraulic benefits     life-cycle cost    

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Ultimate load analysis of pretensioned inverted T-beams with circular web openings

Hock Tian CHENG , Bashar S. MOHAMMED , Kamal Nasharuddin MUSTAPHA ,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 3,   Pages 262-271 doi: 10.1007/s11709-009-0031-4

Abstract: In this paper, ultimate load analysis of statically loaded simply supported pretensioned inverted T-beams

Keywords： pretensioned inverted T-beam     web opening    

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Performance design of a cryogenic air separation unit for variable working conditions using the lumped parameter model

Jinghua XU, Tiantian WANG, Qianyong CHEN, Shuyou ZHANG, Jianrong TAN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 24-42 doi: 10.1007/s11465-019-0558-6

Abstract: Takagi–Sugeno (T–S) fuzzy interval detection is recursively utilized to determine whether the criticalparticularly suitable for “rough first then precise” modeling by expanding the feasible domain using fuzzy

Keywords： performance design     air separation unit (ASU)     lumped parameter model (LPM)     variable working conditions     T–Sfuzzy interval detection    

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Gained switching-based fuzzy sliding mode control for a discrete-time underactuated robotic system with

Hui LI, Ruiqin LI, Jianwei ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 353-362 doi: 10.1007/s11465-020-0620-4

Abstract: discrete-time sliding mode control method to address the chattering issue in disturbed discrete-time systemsThe performance of controlling underactuated robotic systems can be further improved by the adoptionof fuzzy logic to perform adaptive online hyper-parameter tuning.performance and robustness of the proposed reaching law in the studied system and prove the proposed method’s

Keywords： sliding-mode control     robot control     discrete-time uncertain systems     fuzzy logic    

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Approximating Characteristics of Fuzzy Systems With Arbitrary Membership Function

Zhang Zhao,Pei Yanling,Zheng Aihong

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 47-50

Abstract: function is used as general membership function, Stone-Weierstrass theorem is utilized to prove that fuzzysystems with arbitrary membership functions are capable of approximating any continuous function onIt is a generalization for theory of basic fuzzy systems approximating any continuous non-linear functionThe performance of fuzzy systems to approximate random non-linear function is the theoretical basis offuzzy system's application in system identification.

Keywords： fuzzy system     membership function     approximation    

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Title Author Date Type Operation

Classical state feedback controller for nonlinear systems using mean value theorem: closed loop-FOC of

Abrar ALLAG,Abdelhamid BENAKCHA,Meriem ALLAG,Ismail ZEIN,Mohamed Yacine AYAD

Journal Article

Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Journal Article

A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Journal Article

Application of metal oxides-based nanofluids in PV/T systems: a review

Journal Article

Higher Performance Seismic Structures for Advanced Cities and Societies

Jiro Takagi, Akira Wada

Journal Article

Unified power quality conditioner based on a three-level NPC inverter using fuzzy control techniques

Salim CHENNAI,M-T BENCHOUIA

Journal Article

Requirements in performance measurement systems of construction projects from the lean production perspective

BARTH, Carlos T. FORMOSO

Journal Article

Resiliency of steel and composite structures

Roberto T. LEON,Yu GAO

Journal Article

Finite element analysis and structural design of pretensioned inverted T-beams with web openings

Hock Tian CHENG, Bashar S. MOHAMMED, Kamal Nasharuddin MUSTAPHA

Journal Article

Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

Sathish KUMAR, T. JAYABARATHI

Journal Article

Life cycle cost savings analysis on traditional drainage systems from low impact development strategies

Pengfei ZHANG, Samuel T. ARIARATNAM

Journal Article

Ultimate load analysis of pretensioned inverted T-beams with circular web openings

Hock Tian CHENG , Bashar S. MOHAMMED , Kamal Nasharuddin MUSTAPHA ,

Journal Article

Performance design of a cryogenic air separation unit for variable working conditions using the lumped parameter model

Jinghua XU, Tiantian WANG, Qianyong CHEN, Shuyou ZHANG, Jianrong TAN

Journal Article

Gained switching-based fuzzy sliding mode control for a discrete-time underactuated robotic system with

Hui LI, Ruiqin LI, Jianwei ZHANG

Journal Article

Approximating Characteristics of Fuzzy Systems With Arbitrary Membership Function

Zhang Zhao,Pei Yanling,Zheng Aihong

Journal Article