资源类型

期刊论文 2372

年份

2023 165

2022 184

2021 165

2020 151

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

2004 50

展开 ︾

关键词

数学模型 13

指标体系 12

系统工程 10

模型试验 9

数值模拟 8

人工智能 7

可持续发展 7

开放的复杂巨系统 7

技术体系 7

模型 7

系统集成 7

钱学森 7

智能制造 5

物联网 5

系统科学 5

COVID-19 4

仿真 4

战略性新兴产业 4

标准体系 4

展开 ︾

检索范围：

排序： 展示方式：

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

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

《能源前沿（英文）》 2014年 第8卷 第1期   页码 81-89 doi: 10.1007/s11708-014-0295-9

摘要： In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for high performance AC drives is proposed. The error vector computation is made based on the rotor-flux derived from the reference and the adaptive model of the induction motor. The error signal is processed in the proposed fuzzy logic controller (FLC) for speed adaptation. The drive employs an indirect vector control scheme for achieving a good closed loop speed control. For powering the drive system, a standalone photovoltaic (PV) energy source is used. To extract the maximum power from the PV source, a constant voltage controller (CVC) is also proposed. The complete drive system is modeled in MATLAB/Simulink and the performance is analyzed for different operating conditions.

关键词： induction motor drive     fuzzy logic (FL) control     model reference adaptive system (MRAS)     photovoltaic (PV) array     vector control    

HTML PDF 收藏

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

Cheng CHEN, James M. RICLES

《结构与土木工程前沿（英文）》 2010年 第4卷 第3期   页码 277-286 doi: 10.1007/s11709-010-0072-8

摘要： Real-time testing provides a viable experimental technique to evaluate the performance of structural systems subjected to dynamic loading. Servo-hydraulic actuators are often utilized to apply calculated displacements from an integration algorithm to the experimental structures in a real-time manner. The compensation of actuator delay is therefore critical to achieve stable and reliable experimental results. The advances in compensation methods based on adaptive control theory enable researchers to accommodate variable actuator delay and achieve good actuator control for real-time tests. However, 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 adaptive compensation methods. The rate of adaptation also requires that a good actuator delay estimate be acquired especially for the tests where the peak structural response might occur at the beginning of the tests. This paper presents a model reference adaptive control based method to identify the parameter of a simplified discrete model for servo-hydraulic dynamics and the resulting compensation method. Simulations are conducted using both numerical analysis and experimental results to evaluate the effectiveness of the proposed estimation method.

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

HTML PDF 收藏

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

Dan ZHANG,Bin WEI

《机械工程前沿（英文）》 2016年 第11卷 第2期   页码 213-217 doi: 10.1007/s11465-016-0386-x

摘要：

This study proposes a hybrid controller by combining a proportional-integral-derivative (PID) control and a model reference adaptive control (MRAC), which named as PID+MRAC controller. The convergence performances of the PID control, MRAC, and hybrid PID+MRAC are also compared. Through the simulation in Matlab, the results show that the convergence speed and performance of the MRAC and the PID+MRAC controller are better than those of the PID controller. In addition, the convergence performance of the hybrid control is better than that of the MRAC control.

关键词： proportional-integral-derivative (PID) control     model reference adaptive control     hybrid control     convergence speed     comparison    

HTML PDF 收藏

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

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

《信息与电子工程前沿（英文）》 2015年 第16卷 第9期   页码 759-768 doi: 10.1631/FITEE.1500053

摘要： This paper investigates the trajectory tracking control for a class of nonlinear systems with timevarying delays by virtue of Lyapunov-Krasovskii stability theory and the linear matrix inequality (LMI) technique. A unified model consisting of a linear delayed dynamic system and a bounded static nonlinear operator is introduced, which covers most of the nonlinear systems with bounded nonlinear terms, such as the one-link robotic manipulator, chaotic systems, complex networks, the continuous stirred tank reactor (CSTR), and the standard genetic regulatory network (SGRN). First, the definition of the tracking control is given. Second, the performance analysis of the closed-loop system including this unified model, reference model, and state feedback controller is presented. Then criteria on the tracking controller design are derived in terms of LMIs such that the output of the closed-loop system tracks the given reference signal in the sense. The reference model adopted here is modified to be more flexible. A scaling factor is introduced to deal with the disturbance such that the control precision is improved. Finally, a CSTR system is provided to demonstrate the effectiveness of the established control laws.

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

HTML PDF 收藏

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

Liping LI, Zheng LI,

《能源前沿（英文）》 2009年 第3卷 第4期   页码 440-445 doi: 10.1007/s11708-009-0051-8

摘要： The core objective to optimize a complex energy system is to set the reference target to guide the parameter adjustment of system operation. In this paper, a new case-based approach is proposed based on an online performance assessment program and its long-term operation data for a large power unit. The online model of a coal-fired power unit’s performance assessment is demonstrated, and the distribution pattern of the performance index is revealed by statistical analysis of the abundant data. The fundamental issues (representation of the similarity of two thermal processes, similarity measure, etc.) are tackled. The key sections and key parameters for the completion of similarity determination are proposed, which are essential to realize a case-based strategy. A full-scope simulator of power unit is used to test the availability of the method. The advantage of the case-based approach is the integrality of information over other methods.

关键词： energy system     case-based     optimization     power unit operation     performance    

HTML PDF 收藏

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

Reza TEIMOURI, Hamed SOHRABPOOR

《机械工程前沿（英文）》 2013年 第8卷 第4期   页码 429-442 doi: 10.1007/s11465-013-0277-3

摘要：

Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantages which can be exploited during machining operation. The process offers several special privileges such as higher machining rate, better accuracy and control, and wider range of materials that can be machined. Contribution of too many predominate parameters in the process, makes its prediction and selection of optimal values really complex, especially while the process is programmized for machining of hard materials. In the present work in order to investigate effects of electrolyte concentration, electrolyte flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference systems (ANFIS) have been used for creation predictive models based on experimental observations. Then the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SR. Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process reaches maximum material removal rate and minimum surface roughness simultaneously. Results indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction accuracy. Also, results obtained while applying of COA have been compared with those derived from confirmatory experiments which validate the applicability and suitability of the proposed techniques in enhancing the performance of ECM process.

关键词： electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization     cuckoo optimization algorithm (COA)    

HTML PDF 收藏

面向服务的P2P网络体系结构层次参考模型研究

刘业,刘林峰,庄艳艳

《中国工程科学》 2007年 第9卷 第9期   页码 72-77

摘要：

提出了一种基于交互、 面向服务的P2P网络体系结构框 架模型ISPNA，同时结合P2P网络 松耦合、自组织、可缩放等特点， 对P2P网络技术中增强其可用性需 要解决的关键问题进行分析。 从P2P网络体系结构的研究角度出发， 将增强P2P网络可用性所需要考虑的 多方面因素放置在P2P网络的不同 层次予以解决，有利于从宏观上 把握需要解决的问题。

关键词： P2P网络     体系结构     层次参考模型     资源     服务    

HTML PDF 收藏

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

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

《能源前沿（英文）》 2016年 第10卷 第4期   页码 382-392 doi: 10.1007/s11708-016-0421-y

摘要： This paper presents a new neural network based model reference adaptive system (MRAS) to solve low speed problems for estimating rotor resistance in vector control of induction motor (IM). The MRAS using rotor flux as the state variable with a two layer online trained neural network rotor flux estimator as the adaptive model (FLUX-MRAS) for rotor resistance estimation is popularly used in vector control. In this scheme, the reference model used is the flux estimator using voltage model equations. The voltage model encounters major drawbacks at low speeds, namely, integrator drift and stator resistance variation problems. These lead to a significant error in the estimation of rotor resistance at low speed. To address these problems, an offline trained NN with data incorporating stator resistance variation is proposed to estimate flux, and used instead of the voltage model. The offline trained NN, modeled using the cascade neural network, is used as a reference model instead of the voltage model to form a new scheme named as “NN-FLUX-MRAS.” The NN-FLUX-MRAS uses two neural networks, namely, offline trained NN as the reference model and online trained NN as the adaptive model. The performance of the novel NN-FLUX-MRAS is compared with the FLUX-MRAS for low speed problems in terms of integral square error (ISE), integral time square error (ITSE), integral absolute error (IAE) and integral time absolute error (ITAE). The proposed NN-FLUX-MRAS is shown to overcome the low speed problems in Matlab simulation.
HTML PDF 收藏

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

《结构与土木工程前沿（英文）》   页码 812-826 doi: 10.1007/s11709-023-0940-7

摘要： A falling weight deflectometer is a testing device used in civil engineering to measure and evaluate the physical properties of pavements, such as the modulus of the subgrade reaction (Y1) and the elastic modulus of the slab (Y2), which are crucial for assessing the structural strength of pavements. 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 easily determined 13 parameters of rigid pavements. The performance of the novel ANFIS-GA model was compared to that of other benchmark models, namely logistic regression (LR) and radial basis function regression (RBFR) algorithms. These models were validated using standard statistical measures, namely, the coefficient of correlation (R), mean absolute error (MAE), and root mean square error (RMSE). The results indicated that the ANFIS-GA model was the best at predicting Y1 (R = 0.945) and Y2 (R = 0.887) compared to the LR and RBFR models. Therefore, the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters for the appropriate and rapid assessment of the quality and strength of pavements.

关键词： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

HTML PDF 收藏

模型不确定性和执行器故障下的四旋翼飞行器主动容错控制方法 None

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

《信息与电子工程前沿（英文）》 2019年 第20卷 第1期   页码 95-106 doi: 10.1631/FITEE.1800570

摘要： 针对四旋翼飞行器的执行器故障，提出一种可靠的主动容错控制方法。该方法以模型参考自适应控制理论为框架，保证四旋翼飞行器系统的全局渐进稳定性。为消除模型不确定性影响，增强系统鲁棒性，径向基神经网络算法被集成到所设计的控制系统中，自适应地辨识模型不确定性，在线调整参考模型。此外，为避免因执行器饱和及响应速率限制造成的不必要的系统性能下降，在控制器设计过程中，同时考虑执行器动态特性。基于自适应两级卡尔曼滤波器设计的故障检测与诊断模块，可以准确估计执行器控制效率损失故障。利用获取的故障信息，重新构造控制器的控制律，弥补执行器故障的不利影响。仿真结果表明，在执行器有、无故障两种情况下，提出的主动容错控制方法都能使四旋翼飞行器准确跟踪期望的参考信号。

关键词： 模型参考自适应控制；神经网络；四旋翼飞行器；容错控制；故障检测与诊断    

HTML PDF 收藏

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

《结构与土木工程前沿（英文）》 2021年 第15卷 第1期   页码 61-79 doi: 10.1007/s11709-020-0684-6

摘要： Concrete compressive strength prediction is an essential process for material design and sustainability. This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary models, i.e., ANFIS–particle swarm optimization (PSO), ANFIS–ant colony, ANFIS–differential evolution (DE), and ANFIS–genetic algorithm to predict the foamed concrete compressive strength. Several concrete properties, including cement content (C), oven dry density (O), water-to-binder ratio (W), and foamed volume (F) are used as input variables. A relevant data set is obtained from open-access published experimental investigations and used to build predictive models. The performance of the proposed predictive models is evaluated based on the mean performance (MP), which is the mean value of several statistical error indices. To optimize each predictive model and its input variables, univariate (C, O, W, and F), bivariate (C–O, C–W, C–F, O–W, O–F, and W–F), trivariate (C–O–W, C–W–F, O–W–F), and four-variate (C–O–W–F) combinations of input variables are constructed for each model. The results indicate that the best predictions obtained using the univariate, bivariate, trivariate, and four-variate models are ANFIS–DE– (O) (MP= 0.96), ANFIS–PSO– (C-O) (MP= 0.88), ANFIS–DE– (O–W–F) (MP= 0.94), and ANFIS–PSO– (C–O–W–F) (MP= 0.89), respectively. ANFIS–PSO– (C–O) yielded the best accurate prediction of compressive strength with an MP value of 0.96.

关键词： foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive strength    

HTML PDF 收藏

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

Jianyong YAO

《机械工程前沿（英文）》 2018年 第13卷 第2期   页码 179-210 doi: 10.1007/s11465-018-0464-3

摘要：

Hydraulic servo system plays a significant role in industries, and usually acts as a core point in control and power transmission. Although linear theory-based control methods have been well established, advanced controller design methods for hydraulic servo system to achieve high performance is still an unending pursuit along with the development of modern industry. Essential nonlinearity is a unique feature and makes model-based nonlinear control more attractive, due to 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 brief perspectives of hydraulic servo systems are presented: Modelling uncertainty in hydraulic system is a major challenge, which includes parametric uncertainty and time-varying disturbance; some specific requirements also arise ad hoc difficulties such as nonlinear friction during low velocity tracking, severe disturbance, periodic disturbance, etc.; to handle various challenges, nonlinear solutions including parameter adaptation, nonlinear robust control, state and disturbance observation, backstepping design and so on, are proposed and integrated, theoretical analysis and lots of applications reveal their powerful capability to solve pertinent problems; and at the end, some perspectives and associated research topics (measurement noise, constraints, inner valve dynamics, input nonlinearity, etc.) in nonlinear hydraulic servo control are briefly explored and discussed.

关键词： hydraulic servo system     adaptive control     robust control     nonlinear friction     disturbance compensation     repetitive control     noise alleviation     constraint control    

HTML PDF 收藏

中国动态大地坐标框架最优实现的方法与应用 Article

程鹏飞, 成英燕, 王晓明, 吴素芹, 徐彦田

《工程（英文）》 2020年 第6卷 第8期   页码 879-897 doi: 10.1016/j.eng.2020.08.004

摘要：

2000国家大地坐标系（CGCS2000）作为正式发布的法定坐标系已运用了多年。在我国，所有基于全球导航卫星系统（GNSS）测站的坐标为了与CGCS2000框架保持一致，都需要进行坐标改正。实现最佳CGCS2000框架需采用不同的策略，而不同的策略会导致不同的结果，有的差异甚至达到几分米。GNSS测站坐标改正常用的两种方法是CGCS2000控制下的拟稳平差和板块运动改正，两种方法计算的结果相差超过10 cm。本文将监督聚类（supervised clustering）统计方法应用于GNSS基准站的选择，同时提出了GNSS测站大网数据处理分组的间距分区（partition spacing）法，并用板块运动改正将当前历元GNSS测站坐标归算至CGCS2000参考历元。结果表明，新的分区方法明显优于传统的地理分区方法。当以不分组的测站坐标为标准时，新分区方法得到的三维坐标分量的精度均优于2 mm。监督聚类法得到的x、y、z方向上的速度均方根（RMS）分别为0.19 mm·a–1、0.45 mm·a–1和0.32 mm·a–1，远小于传统方法的0.92 mm·a–1、0.72 mm·a–1和0.97 mm·a–1。此外，采用奇异谱分析（SSA）对位置非线性运动进行建模和预测。在东、北、高（E、N和U）方向，SSA的建模精度分别优于3 mm、2 mm和5 mm，在水平方向和垂直方向的预测精度分别优于5 mm和1 cm。

关键词： 参考框架优化实现     中国板块模型     CGCS2000维持     非线性运动建模    

HTML PDF 收藏

利用两个自适应特征改进实体链接 Research Article

张鸿彬,陈权,张伟文

《信息与电子工程前沿（英文）》 2022年 第23卷 第11期   页码 1620-1630 doi: 10.1631/FITEE.2100495

摘要：

实体链接是自然语言处理中的一项基本任务。现有的基于神经网络的系统更多地关注全局模型的构建，而忽略了局部模型中潜在的语义信息和有效实体类型信息的获取。本文提出两个自适应特征，其中第一个自适应特征使得局部和全局模型能够捕获潜在信息，第二个自适应特征能够描述实体类型嵌入的有效信息。这些自适应特征可以很自然地协同工作来处理一些不确定的实体类型信息。实验结果表明，我们的实体链接系统在AIDA-B和MSNBC数据集上取得了最佳的性能，并在域外数据集上达到了最佳的平均性能。这些结果表明，所提出的自适应特征能够基于其自身不同的上下文来捕获有利于实体链接的信息。

关键词： 实体链接；局部模型；全局模型；自适应特征；实体类型    

HTML PDF 收藏

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

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

《工程（英文）》 doi: 10.1016/j.eng.2023.05.013

摘要： Resonantly enhanced dielectric sensing has superior sensitivity and accuracy because the signal is measured from relative resonance shifts that are immune to signal fluctuations. For applications in the Internet of Things (IoT), accurate detection of resonance frequency shifts using a compact circuit is in high demand. We proposed an ultracompact integrated sensing system that merges a spoof surface plasmon resonance sensor with signal detection, processing, and wireless communication. A software-defined scheme was developed to track the resonance shift, which minimized the hardware circuit and made the detection adaptive to the target resonance. A microwave spoof surface plasmon resonator was designed to enhance sensitivity and resonance intensity. The integrated sensing system was constructed on a printed circuit board with dimensions of 1.8 cm × 1.2 cm and connected to a smartphone wirelessly through Bluetooth, working in both frequency scanning mode and resonance tracking mode and achieving a signal-to-noise ratio of 69 dB in acetone vapor sensing. This study provides an ultracompact, accurate, adaptive, sensitive, and wireless solution for resonant sensors in the IoT.

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

HTML PDF 收藏

标题 作者 时间 类型 操作

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

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

期刊论文

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

Cheng CHEN, James M. RICLES

期刊论文

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

Dan ZHANG,Bin WEI

期刊论文

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

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

期刊论文

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

Liping LI, Zheng LI,

期刊论文

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

Reza TEIMOURI, Hamed SOHRABPOOR

期刊论文

面向服务的P2P网络体系结构层次参考模型研究

刘业,刘林峰,庄艳艳

期刊论文

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

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

期刊论文

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

期刊论文

模型不确定性和执行器故障下的四旋翼飞行器主动容错控制方法

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

期刊论文

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

期刊论文

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

Jianyong YAO

期刊论文

中国动态大地坐标框架最优实现的方法与应用

程鹏飞, 成英燕, 王晓明, 吴素芹, 徐彦田

期刊论文

利用两个自适应特征改进实体链接

张鸿彬,陈权,张伟文

期刊论文

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

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

期刊论文