Description: 模式识别源代码，自动和手动进行两类、三类识别-pattern recognition source code, automatic and manual for two, three types of identification Platform: |
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Author:liu yang |
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Description: 模式识别源代码，自动和手动进行两类、三类识别-pattern recognition source code, automatic and manual for two, three types of identification Platform: |
Size: 256000 |
Author:liu yang |
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Description: 本文在现有目标识别方法的基础上,提出一种结合目标的特性进行分水岭变换提取目标的方法-In this paper, the existing methods of target identification based on a combination of the characteristics of the target watershed transform method of extracting the target Platform: |
Size: 311296 |
Author:征征 |
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Description: Malic是一个完整的Linux下的人脸识别系统源代码，它是SourceForge上的一个开源项目，使用Malib实现实时处理，CSU Face Identification Evaluation System进行人脸识别。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(EBGM)-Malic is a complete face recognition system under the Linux source code, it is a SourceForge open source project, using real-time Malib treatment, CSU Face Identification Evaluation System for Face Recognition. Algorithms include: Principal component analysis (principle components analysis (PCA)), aka eigenfaces algorithm, mixed-principal component analysis, linear discriminant analysis (PCA+ LDA), the image difference classifier (IIDC), a flexible image matching algorithm (EBGM) Platform: |
Size: 977920 |
Author:严锐 |
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Description: 利用FISHER线型识别人脸，是个比较好的程序，简单易懂，有注释。-FISHER linear identification using face, is a better procedure, easy-to-read, have the Notes. Platform: |
Size: 184320 |
Author:刘毅 |
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Description: 线性鉴别技术是一种较好的分类技术,本程序采用了基于PCA与LCA的人脸识别方法使人脸识别效率得到提高-Linear identification technology is a better classification techniques, the procedures for the use of PCA and LCA-based face recognition method of face recognition efficiency Platform: |
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Author:黄璞 |
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Description: The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order -The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order Platform: |
Size: 1031168 |
Author:kedle |
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Description: A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction.
KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.
Platform: |
Size: 92160 |
Author:kedle |
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Description: 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 controlled object, controller and adaptive laws such as the composition. Is the core of system design and design of integrated controller and adaptive laws, enables the system to stabilize the output of reference model tracking [2]. In recent years, of time-varying systems of adaptive control research has been made greater progress. In the text [3] on the basis of this paper, linear time-varying systems A modified model reference adaptive control program simulation study, simulation results illustrate the feasibility of the control program. Platform: |
Size: 1024 |
Author:zl |
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Description: 手写体识别中，对于阿拉伯数字的识别。常用的模式分类方法都可以应用。这个小程序使用的方法是线性判别分析-Handwriting recognition, for identification of Arabic numerals. Commonly used pattern classification methods can be applied. This small program uses the method is linear discriminant analysis Platform: |
Size: 2048 |
Author:孙家冕 |
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Description: 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 Platform: |
Size: 2048 |
Author:张云鹏 |
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Description: 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 modeling method. Identification method based on genetic algorithm has strong anti-jamming ability, low, high-end systems, delay systems can achieve very good recognition results. According to unit power plant low-level non-linear model, derived a double inlet and outlet, can describe the dynamic characteristics and boiler-turbine unit is coupled between two relations, coordination and control system transfer function matrix. Turn model was proposed based on improved genetic algorithm based on parameter identification method. Platform: |
Size: 118784 |
Author:space6 |
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Description: 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, ExampleModel.mdl, Friction_Model.mdl. Any other data files used in the presentation already ship with the toolbox (ver 7.0).
Products used:
- You basically need only System Identification Toolbox (SITB) to try out most examples.
- To use Simulink blocks, you would, of course, need Simulink.
- Control System Toolbox is used at one place to show how estimated models can be converted into LTI objects (SS, TF etc)
- Optimization Toolbox will be used if available for grey box estimation. If not, SITB s built-in optimizers will be used automatically.
- Other products mentioned: Neural Network Toolbox, Model Predictive Control Toolbox and Robust Control Toolbox.
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Size: 34816 |
Author:陈翼男 |
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Description: 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 Platform: |
Size: 1024 |
Author:lluu |
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Description: 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. Platform: |
Size: 4096 |
Author:manoj |
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Description: 模式识别，能够完成对模式的自动线性识别，识别方式也是线性的-Pattern Recognition, to complete the model of the automatic linear identification, evaluation method is linear Platform: |
Size: 19456 |
Author:王大雷 |
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Description: 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. Platform: |
Size: 3072 |
Author:bigbigtom |
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Description: 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-linear numerical model. The non-linear input / output model of the system is decomposed in several described by
membership functions and fuzzy rule-based local linear systems. The results are presented and prospects for future work. Platform: |
Size: 152576 |
Author:orques
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