Resource Type

Journal Article 2372

Conference Videos 83

Conference Topics 1

Year

2024 1

2023 168

2022 217

2021 201

2020 162

2019 126

2018 123

2017 120

2016 113

2015 123

2014 92

2013 88

2012 73

2011 78

2010 101

2009 76

2008 83

2007 94

2006 83

2005 62

open ︾

Keywords

optimization 22

system 17

model test 15

numerical simulation 14

simulation 14

COVID-19 13

model 13

artificial intelligence 12

mathematical model 12

neural network 12

sustainable development 12

Deep learning 11

Artificial intelligence 10

China 10

index system 10

system engineering 9

Multi-agent system 8

Qian Xuesen 7

management 7

open ︾

Search scope:

排序: Display mode:

Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 81-89 doi: 10.1007/s11708-014-0295-9

Abstract: In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for highThe error vector computation is made based on the rotor-flux derived from the reference and the adaptivemodel of the induction motor.For powering the drive system, a standalone photovoltaic (PV) energy source is used.The complete drive system is modeled in MATLAB/Simulink and the performance is analyzed for different

Keywords: induction motor drive     fuzzy logic (FL) control     model reference adaptive system (MRAS)     photovoltaic (PV    

A model reference adaptive control based method for actuator delay estimation in real-time testing

Cheng CHEN, James M. RICLES

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 277-286 doi: 10.1007/s11709-010-0072-8

Abstract: The advances in compensation methods based on adaptive control theory enable researchers to accommodateHowever, these adaptive methods all require time duration for actuator delay adaptation.Experiments show that a good actuator delay estimate can help optimize the performance of the adaptiveThis paper presents a model reference adaptive control based method to identify the parameter of a simplifieddiscrete model for servo-hydraulic dynamics and the resulting compensation method.

Keywords: real-time testing     actuator delay     compensation     adaptive control     MIT rule     discrete transfer function    

Convergence performance comparisons of PID, MRAC, and PID+MRAC hybrid controller

Dan ZHANG,Bin WEI

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 2,   Pages 213-217 doi: 10.1007/s11465-016-0386-x

Abstract: study proposes a hybrid controller by combining a proportional-integral-derivative (PID) control and a modelreference adaptive control (MRAC), which named as PID+MRAC controller.

Keywords: proportional-integral-derivative (PID) control     model reference adaptive control     hybrid control     convergence    

reference tracking control design for a class of nonlinear systems with time-varying delays

Mei-qin LIU,Hai-yang CHEN,Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 759-768 doi: 10.1631/FITEE.1500053

Abstract: A unified model consisting of a linear delayed dynamic system and a bounded static nonlinear operatorSecond, the performance analysis of the closed-loop system including this unified model, referencemodel, and state feedback controller is presented.tracks the given reference signal in the sense.The reference model adopted here is modified to be more flexible.

Keywords: H∞     reference tracking     Nonlinear system     State feedback control     Time-varying delays     Unified model    

A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 440-445 doi: 10.1007/s11708-009-0051-8

Abstract: The core objective to optimize a complex energy system is to set the reference target to guide the parameteradjustment of system operation.The online model of a coal-fired power unit’s performance assessment is demonstrated, and the distribution

Keywords: energy system     case-based     optimization     power unit operation     performance    

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive

Keywords: electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization    

An Interactive ServiceorientedP2P Networks Architecture Reference Model

Liu Ye,Liu Linfen,Zhuang Yanyan

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 72-77

Abstract:

An interactive service- oriented P2P networks architecture (ISPNA) is proposed in this paper.  Based on the further analysis on the service demand of distributed P2P applications,  and considering the characteristics of P2P networks such as loose-coupled,  self-organizing,  and scalability,  the key availability enhancing issues of P2P networks are resolved by several different layers in ISPNA,  of which mutual relations are to analyzed.  From the architecture point of view,  to synthetically take into account the omnifarious factors that affect the availability of structure P2P networks and to analyze the causes of their formation should be helpful to put the questions in right perspective.

Keywords: P2P networks     architecture     reference model     resource     service    

A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 382-392 doi: 10.1007/s11708-016-0421-y

Abstract: This paper presents a new neural network based model reference adaptive system (MRAS) to solve low speedflux estimator as the adaptive model (FLUX-MRAS) for rotor resistance estimation is popularly used inIn this scheme, the reference model used is the flux estimator using voltage model equations.The NN-FLUX-MRAS uses two neural networks, namely, offline trained NN as the reference model and onlinetrained NN as the adaptive model.

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptiveneuro-fuzzy inference system

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: In this study, we developed a novel hybrid artificial intelligence model, i.e., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy inference system (ANFIS-GA), to predict Y1 and Y2 based on easilyThe performance of the novel ANFIS-GA model was compared to that of other benchmark models, namely logisticThe results indicated that the ANFIS-GA model was the best at predicting Y1 (R = 0.945) and Y2Therefore, the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters

Keywords: falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

Active fault-tolerant tracking control of a quadrotorwith model uncertainties and actuator faults None

Yu-jiang ZHONG, Zhi-xiang LIU, You-min ZHANG, Wei ZHANG, Jun-yi ZUO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 95-106 doi: 10.1631/FITEE.1800570

Abstract:

This paper presents a reliable active fault-tolerant tracking control system (AFTTCS) for actuatorThe proposed AFTTCS is designed based on a well-known model reference adaptive control (MRAC) frameworkthat guarantees the global asymptotic stability of a QUAV system.To mitigate the negative impacts of model uncertainties and enhance system robustness, a radial basisonline and modifying the reference model.

Keywords: Model reference adaptive control     Neural network     Quadrotor     Fault-tolerant control     Fault detection and    

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionaryTo optimize each predictive model and its input variables, univariate (C, O, W, and F), bivariate (C–OC–W–F, O–W–F), and four-variate (C–O–W–F) combinations of input variables are constructed for each model

Keywords: foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives

Jianyong YAO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 179-210 doi: 10.1007/s11465-018-0464-3

Abstract:

Hydraulic servo system plays a significant role in industries, and usually acts as a core point incontrol methods have been well established, advanced controller design methods for hydraulic servo systemEssential nonlinearity is a unique feature and makes model-based nonlinear control more attractive, dueto benefit from prior knowledge of the servo valve controlled hydraulic system.In this paper, a discussion for challenges in model-based nonlinear control, latest developments and

Keywords: hydraulic servo system     adaptive control     robust control     nonlinear friction     disturbance compensation     repetitive    

Realization of an Optimal Dynamic Geodetic Reference Frame in China: Methodology and Applications Article

Pengfei Cheng, Yingyan Cheng, Xiaoming Wang, Suqin Wu, Yantian Xu

Engineering 2020, Volume 6, Issue 8,   Pages 879-897 doi: 10.1016/j.eng.2020.08.004

Abstract:

The China Geodetic Coordinate System 2000 (CGCS2000) has been used for several years as a formal publishedreference frame.The coordinates of all global navigation satellite system (GNSS) stations in China need to be correctedDifferent strategies can be adopted for the realization of an optimal reference frame.In addition, singular spectrum analysis (SSA) was used to model and predict the position nonlinear movements

Keywords: Optimal reference frame realization     China Plate Model     CGCS2000 maintenance     Nonlinear movement modeling    

Improving entity linking with two adaptive features Research Article

Hongbin ZHANG, Quan CHEN, Weiwen ZHANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1620-1630 doi: 10.1631/FITEE.2100495

Abstract: In this paper, we propose two , in which the first adaptive feature enables the local and s to capturelatent information, and the second adaptive feature describes effective information for embeddings.Experimental results demonstrate that our EL system achieves the best performance on the AIDA-B and MSNBC

Keywords: Entity linking     Local model     Global model     Adaptive features     Entity type    

An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

Engineering doi: 10.1016/j.eng.2023.05.013

Abstract: We proposed an ultracompact integrated sensing system that merges a spoof surface plasmon resonance sensordeveloped to track the resonance shift, which minimized the hardware circuit and made the detection adaptiveThe integrated sensing system was constructed on a printed circuit board with dimensions of 1.8 cm ×This study provides an ultracompact, accurate, adaptive, sensitive, and wireless solution for resonant

Keywords: Spoof surface plasmons     Internet of Things     Integrated sensing     Resonance tracking     Microwave sensing    

Title Author Date Type Operation

Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

Journal Article

A model reference adaptive control based method for actuator delay estimation in real-time testing

Cheng CHEN, James M. RICLES

Journal Article

Convergence performance comparisons of PID, MRAC, and PID+MRAC hybrid controller

Dan ZHANG,Bin WEI

Journal Article

reference tracking control design for a class of nonlinear systems with time-varying delays

Mei-qin LIU,Hai-yang CHEN,Sen-lin ZHANG

Journal Article

A reliable and practical reference objective for the deviation diagnosis of energy system parameters

Liping LI, Zheng LI,

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

An Interactive ServiceorientedP2P Networks Architecture Reference Model

Liu Ye,Liu Linfen,Zhuang Yanyan

Journal Article

A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptiveneuro-fuzzy inference system

Journal Article

Active fault-tolerant tracking control of a quadrotorwith model uncertainties and actuator faults

Yu-jiang ZHONG, Zhi-xiang LIU, You-min ZHANG, Wei ZHANG, Jun-yi ZUO

Journal Article

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives

Jianyong YAO

Journal Article

Realization of an Optimal Dynamic Geodetic Reference Frame in China: Methodology and Applications

Pengfei Cheng, Yingyan Cheng, Xiaoming Wang, Suqin Wu, Yantian Xu

Journal Article

Improving entity linking with two adaptive features

Hongbin ZHANG, Quan CHEN, Weiwen ZHANG

Journal Article

An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

Journal Article