
[自] 系统辨识;系统识别
System identification is the basis of control theory.
系统辨识是控制理论设计的基础。
System identification is a method of induction for the creation of system models through experiments.
系统辨识是通过试验来建立系统模型的一种归纳方法。
Aiming at the problem of difficult system identification modeling for control system, an identification modeling system was designed for control system by using support vector regression(SVR).
针对非线性控制系统辨识建模较为困难的问题,利用回归型支持向量机(SVR)设计了一例控制系统的辨识建模系统。
From the linearization procedure, a new approach of system identification that is on-line real time modeling and real time feedback control correction can be found.
但研究发现,在这种线性化过程中,包含了一种新的系统辨识思想,那就是在线实时建模一实时反馈控制校正的思想。
This paper establishes a linear model for vehicle steering system based on vehicle steering dynamics and per-view kinematics, combined with system identification of steering system.
从车辆的转向动力学和预瞄运动学特性出发,结合转向系统的系统辨识,建立了车辆转向系统的线性模型。
System identification is an effective method to obtain the mathematics model of a system by analyzing it′s input and output values.
系统辨识是一种通过测量并分析输入与输出响应的数据,建立系统数学模型的方法。
Expatiating the concept of system identification of rock.
阐述了岩体系统辨识的概念。
The simulation results show that the scaling kernel support vector regression method can become the powerful tool for the nonlinear system identification.
仿真实验结果表明该尺度核支持向量回归方法可以成为非线性系统辨识的有力工具。
Based on the system identification for controlled object of timber drying kiln by genetic algorithm, an adaptive PID control system with referring model was established.
在遗传算法对木材干燥窑控制对象进行系统辨识的基础上,建立一个模型参考自适应PID控制系统。
This method is a control-relevant identification method, and it could get better results as compared with the existing system identification methods.
这种方法是与控制相关的一种辨识方法,能获得比普通的系统辨识方法更好的结果。
Taking an inductive displacement transducer as an example, the applications of the state variables analysis in system identification were discussed and the simulation results were given.
以电感位移传感器测试系统为例,探讨状态变量分析方法在系统辨识中的应用。 最后给出了系统仿真实验结果。
As a useful complement to the classical linear system identification methods, the subspace model identification(SMI) methods have drawn much research attention recently.
作为传统线性系统辨识方法的一个有益补充,子空间模型辨识方法(SMI)近年来获得了广泛关注。
System identification has two methods: frequency-domain method and time-domain method. To deal with the parameter identification of coherent generators, we chose frequency-domain method.
系统辨识方法分为时域法和频域法,针对同调机群的参数辨识这个具体问题,我们选择用频域法辨识。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
模糊系统辨识是模糊系统建模的主要手段,优化的模糊系统结构是模糊系统辨识的关键。
System identification is an important branch of control theory study , and it is also the foundation of control system design.
系统辨识是控制理论研究的一个重要分支,它是控制系统设计的基础。
The damage diagnosis method based on vibration testing can be further classified as a direct system identification method, a damage index method and a finite element model modification method.
其中基于振动测试的损伤诊断法可进一步分为直接的系统识别方法、损伤指标法和有限元模型修正法。
This paper proposes a method of system identification for obtaining the mathematical simulation model of thermal system parameters.
本文提出应用系统辨识的方法,来求取热工系统参数的仿真数学模型。
Based on the switching manifold approach to chaos synchronization, a controlling strategy of adaptive chaotic synchronization based on system identification is presented.
在切换流形控制混沌系统同步的基础上,提出一种基于系统辨识的自适应混沌同步控制策略。
Also application of the algorithm to on-line system identification was discussed.
并讨论了该算法在在线系统辨识中的应用。
The mathematical models of decay current is identified by using the theory of system identification, and the parameters of synchronous machine are derived from the above mentioned models.
用以精确测量衰减电流:运用系统辨识理论辨识衰减电流曲线的数学模型;并通过该模型推导出同步电机参数。
With the method of system identification, a math model is set up in this paper.
应用系统辨识方法建立拖拉机阻力控制系统犁耕阻力的数学模型。
This report deals with some practical aspects of the flight test technique for system identification.
本文讨论系统识别用于飞行试验技术的某些问题。
Rapid development of a branch of the modern theory of controll-technique of system identification gives a wider way for the prediction for the behavior of various dynamic systems.
现代控制理论的重要分支——系统辨识技术的飞速发展,为各类动态系统的状态预报开辟了一条更加广阔的道路。
Formed from the principle proposed in the paper, automatous system identification virtual instrument with special system demarcation process software will be widely applied to many fields.
根据该原理形成的带系统标定专用处理软件的智能化系统辨识虚拟仪器,将具有广阔的应用远景。
Chapter III: The introduction of the principia of system identification, including how to use F order probation identify the order of system and use Newton method identify the parameters of system.
介绍系统辨识的原理并利用模型阶的F检验法和辨识模型参数的递推最小二乘法来建立稳定河道的水位流量关系模型。
The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
非线性结构的参数估计和系统识别是取得和验证非线性结构数学模型的一门学科。
This paper stu***d the models of pre-mixed spark ignition gas engine particularly, which adopted the method of mechanism analysis and system identification.
本文采用机理分析与系统辨识相结合的方法,对预混点燃式气体燃料发动机进行了深入细致的建模研究。
系统辨识(System Identification)是控制工程和信号处理领域的核心方法论,指通过观测系统的输入输出数据建立数学模型的过程,其本质是从实验数据中提取系统动态特性。该方法广泛应用于工业自动化、机器人控制、能源系统优化等领域,例如通过电机运行数据建立转速模型,或依据电网负荷波动构建电力传输方程。
数据采集与处理
采用传感器获取输入输出信号时,需考虑噪声抑制和采样频率选择。美国国家标准技术研究院(NIST)建议采样频率应至少覆盖系统最高频率的2.56倍。
模型结构选择
常见模型包括ARX(自回归外生输入)、状态空间模型和非线性NARMAX模型。Springer出版的《系统辨识导论》指出,线性模型约占工业应用的73%,但新能源系统更需非线性建模。
参数估计方法
最小二乘法(LS)和极大似然估计(MLE)是两大主流算法。MathWorks系统辨识工具箱验证显示,递推最小二乘法在实时控制中收敛速度比批处理法快40%。
模型验证标准
最终模型需通过残差白化检验和交叉验证,ScienceDirect数据库研究证实,结合AIC(赤池信息准则)与仿真误差双指标验证可使模型可靠性提升28%。
(注:参考文献MathWorks系统辨识文档、IEEE控制系统期刊、NIST测量标准手册、Springer系统辨识专著、MathWorks技术报告、ScienceDirect系统工程论文,具体链接因平台限制未完整展示)
"System identification"(系统辨识)是控制工程、信号处理和相关领域的核心概念,指通过实验数据建立系统数学模型的过程。以下是详细解释:
定义
系统辨识是通过观测系统的输入输出数据,构建数学模型来描述系统动态特性的方法。其目标是找到最能匹配实际行为的数学表达式,如微分方程、传递函数或状态空间模型。
应用场景
基本步骤
①数据采集:记录系统在特定输入(如阶跃信号、随机噪声)下的响应;
②模型结构选择:根据先验知识选择模型类型(如ARX、状态空间);
③参数估计:用最小二乘法、最大似然估计等方法确定模型参数;
④验证:通过新数据集检验模型预测能力。
数学表示示例
线性时不变系统的差分方程模型:
$$
y(t) + a_1y(t-1) + cdots + a_ny(t-n) = b_1u(t-1) + cdots + b_mu(t-m)
$$
其中$u$为输入,$y$为输出,$a_i,b_j$为待辨识参数。
工具与挑战
常用工具包括MATLAB System Identification Toolbox和Python SciPy。主要挑战包括噪声干扰、非线性特性处理及模型复杂度权衡。
系统辨识对控制器设计、故障诊断和系统优化至关重要,是连接理论与实际工程应用的桥梁。
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