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基于改进灰狼算法的火电厂湿法脱硫模型辨识 被引量:1
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作者 冯江涛 荣矗嗣 +1 位作者 李翰章 王晨光 《自动化与仪表》 2023年第10期104-109,119,共7页
以某2×350 MW火电机组为研究对象,采用改进灰狼算法(improved grey wolf algorithm,IGWO)为辨识方法,将石灰石浆液pH值与净烟气SO_(2)浓度作为模型输出,通过构建决策树,选取相关度较高变量作为输入变量,建立传递函数模型。对厂级SI... 以某2×350 MW火电机组为研究对象,采用改进灰狼算法(improved grey wolf algorithm,IGWO)为辨识方法,将石灰石浆液pH值与净烟气SO_(2)浓度作为模型输出,通过构建决策树,选取相关度较高变量作为输入变量,建立传递函数模型。对厂级SIS系统数据进行零初始化、粗大值以及平滑处理,使用IGWO完成不同工况下火电厂湿法脱硫系统传递函数参数的辨识。结果表明,使用IGWO辨识所得不同工况模型输出误差较小,较为符合实际工况,为后续湿法脱硫系统控制研究提供了保障。 展开更多
关键词 控制工程 改进灰狼算法 系统模型辨识
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某型弹载雷达测角系统误差模型辨识方法 被引量:5
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作者 王文君 段晓君 +1 位作者 朱炬波 张强 《兵工学报》 EI CAS CSCD 北大核心 2014年第2期273-279,共7页
为了提炼和辨识弹载雷达测角误差系统模型,从物理机理和数据特征两个方面入手,提炼自变量并设计基函数,提出了基于能量的自变量剔除算法。以某型寻的弹载雷达测角误差数据为例,分析了与平台、目标状态相关因素对雷达测角的影响,利用文... 为了提炼和辨识弹载雷达测角误差系统模型,从物理机理和数据特征两个方面入手,提炼自变量并设计基函数,提出了基于能量的自变量剔除算法。以某型寻的弹载雷达测角误差数据为例,分析了与平台、目标状态相关因素对雷达测角的影响,利用文中提出的辨识方法得到测角误差系统模型。计算结果表明,该方法能够对弹载雷达测角的系统误差进行准确建模,且模型较好地吻合了实测数据。 展开更多
关键词 信息处理技术 系统误差模型辨识 自变量矩阵 Cp准则 基于能量的剔除算法 x2拟合检验
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AGENT技术在电力综合负荷模型辨识系统中的应用 被引量:3
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作者 李欣然 苏盛 +3 位作者 陈元新 张文磊 唐外文 徐宇新 《电力自动化设备》 EI CSCD 北大核心 2002年第9期50-53,共4页
分析了当前各类微机负荷数据记录装置的应用现状 ,指出了电力系统综合负荷建模软件开发中存在的可扩展性差、数据文件没有统一格式、自动化程度低等主要问题 ,结合实际设计了一种面向负荷模型辨识的具有完全可扩展性的多AGENT系统 ,其... 分析了当前各类微机负荷数据记录装置的应用现状 ,指出了电力系统综合负荷建模软件开发中存在的可扩展性差、数据文件没有统一格式、自动化程度低等主要问题 ,结合实际设计了一种面向负荷模型辨识的具有完全可扩展性的多AGENT系统 ,其中数据文件采集AGENT完成数据采集 ,数据文件管理AGENT和格式转换AGENT合作完成对不同格式数据的格式归一 ,模型辨识A GENT完成对不同模型、不同参数设置的模型辨识。多AGENT系统能自动对各种不同采样设备提供的现场综合负荷数据采集样本进行模型辨识 ,同时还能实现对各种数据格式、辨识模型的任意扩展。 展开更多
关键词 AGENT 扩展性 电力系统 数字仿真 计算机 电力综合负荷模型辨识系统 参数设置
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区域可持续发展系统辨识模型研究
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作者 宋来敏 周国清 《生产力研究》 CSSCI 2004年第5期90-91,114,共3页
本文在系统分析论述了区域可持续发展的特点和构成的基础上 ,运用系统工程学的理论和方法 ,将系统辨识模型用于研究区域可持续发展的定量化问题 ,建立了区域可持续发展系统辨识模型 ,并以某区域为例 。
关键词 可持续发展 系统辨识模型 区域经济 评定标准
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《围护结构动态负荷传递函数模型合成的系统辨识法》的补充说明
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作者 沈宇纲 张春路 丁国良 《暖通空调》 北大核心 2004年第2期31-33,共3页
分析了《对上海交大〈围护结构动态负荷传递函数模型合成的系统辨识法〉读后感》所作评论的正确性 ,指出该文作者并未完全理解原文的研究目的、研究内容和写作方式 ,而且一些观点也有错误。
关键词 《围护结构动态负荷传递函数模型合成的系统辨识法》 动态负荷 z-传递函数 z-传递函数系数
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线控驻车制动系统辨识方法研究 被引量:4
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作者 黎薇 彭忆强 《西华大学学报(自然科学版)》 CAS 2008年第1期9-11,22,共4页
以定置试验台试验为基础,根据线控驻车制动系统的原理与特点,采用不同的辨识模型:ARX、AR-MAX、NARMAX,应用最小二乘法和神经网络对线控驻车制动系统进行辨识,并对各种方法得到的辨识结果进行比较。结果表明:由于线控驻车制动系统中存... 以定置试验台试验为基础,根据线控驻车制动系统的原理与特点,采用不同的辨识模型:ARX、AR-MAX、NARMAX,应用最小二乘法和神经网络对线控驻车制动系统进行辨识,并对各种方法得到的辨识结果进行比较。结果表明:由于线控驻车制动系统中存在的非线性因素,采用神经网络模型能很好地表示线控驻车制动系统的动态特性,解决了线控驻车制动系统的非线性仿真问题。 展开更多
关键词 线控驻车制动系统 系统辨识ARX/ARMAX模型 神经网络
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利用系统动态模型参数“在线”诊断电机故障
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作者 龙建雄 《北京联合大学学报》 CAS 2010年第4期51-55,共5页
为了解决电机故障的在线诊断,首先对电机的系统动态模型参数进行在线最小二乘估计,根据估计的系统模型参数的变化,利用基于模型参数估计方法实现系统故障检测。根据模型参数的检测诊断方程,识别系统的故障因素,结合应用实例,证明其方法... 为了解决电机故障的在线诊断,首先对电机的系统动态模型参数进行在线最小二乘估计,根据估计的系统模型参数的变化,利用基于模型参数估计方法实现系统故障检测。根据模型参数的检测诊断方程,识别系统的故障因素,结合应用实例,证明其方法是可行有效的。 展开更多
关键词 系统动态模型辨识 电机模型检测方程 电机故障诊断
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汽车道路模拟系统特性辨识研究
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作者 徐占 汪斌 +2 位作者 过学迅 杨波 李光攀 《汽车科技》 2009年第6期65-67,共3页
在进行室内汽车道路模拟试验时,对由振动台架和被试对象组成的试验系统,准确地辨识出系统特性是实验取得成功的关键步骤之一。详细论述了利用CARMA模型识别道路模拟试验系统的原理和过程。基于单输入单输出系统的时域CARMA模型,通过优... 在进行室内汽车道路模拟试验时,对由振动台架和被试对象组成的试验系统,准确地辨识出系统特性是实验取得成功的关键步骤之一。详细论述了利用CARMA模型识别道路模拟试验系统的原理和过程。基于单输入单输出系统的时域CARMA模型,通过优化算法和系统辨识的方法识别了模型参数及模型阶次,并通过试验验证了这种方法的正确性。 展开更多
关键词 系统辨识:道路模拟:CARMA模型 优化
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改进型BP神经网络的非线性多模型自适应控制 被引量:3
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作者 王素珍 刘建锋 《电光与控制》 CSCD 北大核心 2021年第8期1-5,共5页
针对一类参数未知的非线性离散系统,提出一种基于改进型BP神经网络的多模型控制方法。首先将非线性系统表示为线性部分和非线性部分。当非线性部分对系统影响较小时,则直接采用基于固定模型和自适应模型而设计的鲁棒控制器对系统进行控... 针对一类参数未知的非线性离散系统,提出一种基于改进型BP神经网络的多模型控制方法。首先将非线性系统表示为线性部分和非线性部分。当非线性部分对系统影响较小时,则直接采用基于固定模型和自适应模型而设计的鲁棒控制器对系统进行控制;而当非线性部分对系统影响较大时,则采用基于改进的BP神经网络的自适应控制。其次,利用切换准则对控制输入进行平滑切换并给出了稳定性证明。最后,仿真结果表明所提方法能提高系统控制品质、减少控制信号的振荡。 展开更多
关键词 模型控制 非线性 改进型BP神经网络 系统辨识模型
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Modeling of temperature-humidity for wood drying based on time-delay neural network 被引量:5
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作者 张冬妍 孙丽萍 曹军 《Journal of Forestry Research》 SCIE CAS CSCD 2006年第2期141-144,共4页
The temperature-humidity models of wood drying were developed based on Time-delay neural network and the identification structures of Time-delay neural network were given. The controlling model and the schedule model,... The temperature-humidity models of wood drying were developed based on Time-delay neural network and the identification structures of Time-delay neural network were given. The controlling model and the schedule model, which revealed the relation between controlling signal and temperature-humidity and the relation between wood moisture content and temperature-humidity of wood drying, were separately presented. The models were simulated by using the measured data of the experimental drying kiln. The numerical simulation results showed that the modeling method was feasible, and the models were effective. 展开更多
关键词 Wood drying Temperature-humidity model System identification Time-Delay neural network
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舰用柴油机建模方法综述 被引量:9
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作者 郭江华 梁述海 +1 位作者 王英辉 陈国钧 《船舶工程》 CSCD 北大核心 2005年第2期58-61,共4页
作为舰船动力系统的关键部件,柴油机是一个很复杂的系统,它的稳态和动态性能分析、控制必须借助于建模和计算机仿真.文章总结了目前国内外柴油机建模的主要方法,并对各种方法进行了分析和比较.
关键词 柴油机 建模 线性化模型 准稳态模型 充排模型 压力波模型 系统辨识模型
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Identification of Hammerstein Model Using Hybrid Neural Networks
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作者 李世华 李奇 李捷 《Journal of Southeast University(English Edition)》 EI CAS 2001年第1期26-30,共5页
The identification problem of Hammerstein model with extension to the multi input multi output (MIMO) case is studied. The proposed identification method uses a hybrid neural network (HNN) which consists of a mult... The identification problem of Hammerstein model with extension to the multi input multi output (MIMO) case is studied. The proposed identification method uses a hybrid neural network (HNN) which consists of a multi layer feed forward neural network (MFNN) in cascade with a linear neural network (LNN). A unified back propagation (BP) algorithm is proposed to estimate the weights and the biases of the MFNN and the LNN simultaneously. Numerical examples are provided to show the efficiency of the proposed method. 展开更多
关键词 neural networks nonlinear systems identification Hammerstein model
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Model Recognition of Astronauts Blood Flow Change Under Sustained +Gz Acceleration
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作者 钟秋海 张高明 +1 位作者 王庆林 李宪玉 《Journal of Beijing Institute of Technology》 EI CAS 1999年第3期225-231,共7页
Aim Using animals as object of experiment to acquire various patterns of low cerebral blood pressure and reduced blood capacity in cerebral tissues of astronauts due to the load of acceleration. Methods The isotope ... Aim Using animals as object of experiment to acquire various patterns of low cerebral blood pressure and reduced blood capacity in cerebral tissues of astronauts due to the load of acceleration. Methods The isotope tracking technique was applied to mark the blood and record the dynamic curves of cerebral blood flow changes under various accelerations, and the relevant mathematical model was set up using the method of system recognition. Also the method of factor analyzing was used to select two out of the data collected by eight sensors as two factors. Results One of the two factors reflects the various patterns in the astronaut's upper body, the other for the lower body. Parameters of rise time, delay time and steady value reflect the results under different acceleration. Conclusion Whether for the upper body or the lower body, blood flow changes can be considered as a second order system model. This method provides a new technique and method of doing research on astronaut's endurance of acceleration and selecting astronauts. 展开更多
关键词 ASTRONAUTS system recognition blood volume mathematical model ACCELERATION
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THE MODEL VALIDATION OF DYNAMIC NEURAL NETWORKS
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作者 李秀娟 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 1995年第2期185-189,共5页
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.Based on the estimation theory,a synthetic error-i... This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.Based on the estimation theory,a synthetic error-index(SEI)criterion for the neural network models has been developed.By using the powerful training algorithm of recursive prediction error (RPE),two simulated non-linear systems are studied,and the results show that the synthetic error-index criterion can be used to verify the dynamic neural network models.Furthermore,the proposed technique is much simple in calculation than that of the effective correlation tests.Finally,some problems required by further study are discussed. 展开更多
关键词 neural networks dynamic models non-linear systems odel validation system identification
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Data-based model free hysteresis identification for a nonlinear structure
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作者 Xu Bin He Jia +1 位作者 Zhou Ren Masri F. Sami 《Engineering Sciences》 EI 2010年第2期12-19,共8页
In the last two decades, the damage detection for civil engineering structures has been widely treated as a modal analysis problem and most of the currently available vibration-based system identification approaches a... In the last two decades, the damage detection for civil engineering structures has been widely treated as a modal analysis problem and most of the currently available vibration-based system identification approaches are based on modal parameters, namely the natural frequencies, mode shapes and damping ratios, and/or their derivations, which are suitable for linear systems. Nonlinearity is generic in engineering structures. For example, the initiation and development of cracks in civil engineering structures as typical structural damages are nonlinear process. One of the major challenges in damage detection, early warning and damage prognosis is to obtain reasonably accurate identification of nonlinear performance such as hysteresis which is the direct indicator of damage initiation and development under dynamic excitations. In this study, a general data-based identification approach for hysteretic performance in form of nonlinear restoring force using structural dynamic responses and complete and incomplete excitation measurement time series was proposed and validated with a 4-story frame structure equipped with smart devices of magneto-theological (MR) damper to simulate nonlinear performance. Firstly, as an optimization method, the least-squares technique was employed to identify the system matrices of an equivalent linear system of the nonlinear structure model basing on the exci- tation force and the corresponding vibration measurements with impact test when complete and incomplete excitations; and secondly, the nonlinear restoring force of the structure was identified and compared with the test measurements fi- nally. Results show that the proposed data-based approach is capable of identifying the nonlinear behavior of engineering structures and can be employed to evaluate the damage initiation and development of different structure under dynamic loads. 展开更多
关键词 nonlinear restoring force identification nonlinear systems 4-story structure impact force time series least-squares techniques MR damper
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Identification model of multi-layered neural network parameters and its applications in the petroleum production
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作者 Liu Ranbing Liu Leiming +1 位作者 Zhang Faqiang Li Changhua 《Engineering Sciences》 EI 2008年第2期78-82,共5页
This paper creates a LM (Levenberg-Marquardt) algorithm model which is appropriate to solve the problem about weights value of feedforward neural network. On the base of this model, we provide two applications in the ... This paper creates a LM (Levenberg-Marquardt) algorithm model which is appropriate to solve the problem about weights value of feedforward neural network. On the base of this model, we provide two applications in the oilfield production. Firstly, we simulated the functional relationships between the petrophysical and electrical properties of the rock by neural networks model, and studied oil saturation. Under the precision of data is confirmed, this method can reduce the number of experiments. Secondly, we simulated the relationships between investment and income by the neural networks model, and studied invest saturation point and income growth rate. It is very significant to guide the investment decision. The research result shows that the model is suitable for the modeling and identification of nonlinear systems due to the great fit characteristic of neural network and very fast convergence speed of LM algorithm. 展开更多
关键词 neural networks model relationships between the petrophysical and electrical properties of the rock investment income Levenberg-Marquardt learning algorithm
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Nonlinear System Identification Using Methods for Subspace
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作者 Santos Demetrio Miranda Borjas, Claudio Garcia David Zavaleta Villanueva 《Journal of Mechanics Engineering and Automation》 2014年第11期873-877,共5页
The identification of Wiener systems has been an active research topic for years. A Wiener system is a series connection of a linear dynamic system followed by a static nonlinearity. The difficulty in obtaining a repr... The identification of Wiener systems has been an active research topic for years. A Wiener system is a series connection of a linear dynamic system followed by a static nonlinearity. The difficulty in obtaining a representation of the Wiener model is the need to estimate the nonlinear function from the input and output data, without the intermediate signal availability. This paper presents a methodology for the nonlinear system identification of a Wiener type model, using methods for subspaces and polynomials of Chebyshev. The subspace methods used are MOESP (multivariable output-error state space) and N4SID (numerical algorithms for subspace state space system identification). A simulated example is presented to compare the performance of these algorithms. 展开更多
关键词 System identification structure of wiener subspace identification
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Identification of Suspension Bridge Parameters under Exploitational Conditions
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作者 Joanna Iwaniec Marek Iwaniec 《Journal of Mechanics Engineering and Automation》 2014年第8期657-666,共10页
The paper concerns a research into dynamic properties of the steel suspension bridge across Opolska Street in Krakow, Poland. Parameter identification was carried out with the application of the nonlinear system ident... The paper concerns a research into dynamic properties of the steel suspension bridge across Opolska Street in Krakow, Poland. Parameter identification was carried out with the application of the nonlinear system identification method on the basis of system responses to exploitational excitation resulting from pedestrian traffic. In order to verify obtained results, on the basis of the geometrical and material properties of the considered system, the FEM (finite elements model) was created. Created FEM model was updated through the comparison with the model determined by the use of experimental modal analysis method and then applied to analytical evaluation of the considered suspension bridge natural frequencies. 展开更多
关键词 Steel bridge nonlinear system identification exploitational excitation
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