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蚁群算法的进行线性系统的辨识，一个例题。-ant colony algorithm for linear system identification, one of excellence.
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模型参考自适应控制系统由参考模型、受控对象、控制器和自适应律等组成。系统设计的核心是综合和设计控制器和自适应规律，使系统能稳定跟踪参考模型的输出[2]。近年来，对时变系统的自适应控制的研究已取得了较大的进展。在文[3]的基础上，本文针对线性时变系统的一种改进的模型参考自适应控制方案进行仿真研究，仿真结果说明了该控制方案的可行性。-Model reference adaptive control system consists of a reference model, the controlle
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小波神经网络实现非线性系统辨识-non-linear system identification by wavelet
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含有噪声的多维非线性系统辨识-Noisy multi-dimensional non-linear system identification! ! !
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利用神经网络对输入的Ｍ序列进行线性离散系统辨识，及其改进算法-The use of neural network input M-sequence of linear discrete-time system identification, and its improved algorithm
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摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modelin
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Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar.
2. Data files and Simulink models: process_data.mat,
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最小均方算法是一种自适应滤波算法，这里的Matlab程序用于根据LMS最新均方识别一个线性噪声系统-LMS algorithm is an adaptive filter algorithm, where the Matlab program for the latest according to the mean square LMS noise system identification of a linear
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This addresses the use of ANFIS function in the Fuzzy Logic Toolbox for nonlinear dynamical system identification. This
also requires the System Identification Toolbox, as a comparison is made between a nonlinear ANFIS and a linear ARX model.
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基于连续Hopfield网络的线性系统辨识。-Hopfield network based on continuous linear system identification.
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在matlab中利用Volterra非线形滤波器进行系统辨识，并带有一个应用示例。代码带有详细注释。-In the matlab filter using Volterra non-linear system identification, and with an application example. Code with detailed comments.
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CUED系统识别工具箱，包括：
1 Subspace identification of linear systems.
2 Subspace identification of bilinear systems-CUED System Identification Toolbox:
1 Subspace identification of linear systems.
2 Subspace identification of bilinear systems
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There are four major types of adaptive filtering configurations adaptive system identification, adaptive noise cancellation, adaptive linear prediction, and adaptive inverse system. All of the above systems are similar in the implementation of the al
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一次完成最小二乘算法小程序，在单输入单输出线性系统辨识中的应用。-Least squares algorithm applet one time, in the single-input single-output linear system identification applications.
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Recursive Least Squares (RLS) Adaptive algorithm used for system identification
RLS algorithm is one of two algorithms usually used for adaptive linear system identification.
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Nonlinear System Identification
This demo addresses the use of ANFIS function in the
Fuzzy Logic Toolbox(TM) for nonlinear dynamical system identification.
This demo also requires the System Identification Toolbox(TM), as a comparison is
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基于SVR的线性系统辨识建模及校验的仿真程序-SVR linear system identification modeling and verification-based simulation program
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线性系统作业，系统辨识，运用极点配置，LQR，H∞设计状态反馈控制器-Linear system operation, system identification, using pole placement, LQR, H ∞ state feedback controller design
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线性网络在线性系统辩识中的应用。
1 网络设计
2 网络性能检验-Linear Network Online Application System Identification.
1 Network Design
2 Network performance test
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This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear
dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of modeling is applied
to a non
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