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Description: 这是关于最有控制和鲁棒控制几乎最好的书，内容自包含，非常经典。
本书阐述了当代鲁棒与最优控制的主要和基本的内容，其中包含了作者对该理论作出的重要贡献。
全书共为二十一章。第一章为绪论；第二章是阅读本书的数学基础；第三章为线性系统理论基础；第四章定义了信号的范数以及稳定系统的输入——输出增益；第五章论述了反馈结构的稳定性和性能特征；第六章引入了Bode敏感积分关系和Poisson积分公式在多变量时的形式；第七章讨论了用平衡截断法对线性多变量系统进行降阶；第八章研究Hankel范数近似及其在范数模型降阶中的应用；第九章采用小增益定理对不同模型假设下的系统推导鲁棒稳定性检验；第十章引入线性分式变换（LFT）；第十一章研究了有多个不确定性源的系统鲁棒稳定性及性能。-This the most control and robust control almost the best, the book contains content from the very classic. The book described the contemporary robustness and optimal control of the main and basic content, which contains the authors of this theory make an important contribution. A total of 21 book chapters. Introduction of the first chapter; Chapter II is the book to read the mathematical basis; Chapter III of linear systems theory; Chapter IV definition of the scope of the signal and stability of a number of the input -- output gain; fifth chapter on the structural stability of feedback and performance characteristics; Chapter VI introduced Bode sensitive integral relations and Poisson integral multi - variable formula in the form; Chapter 7 discusses the balanced truncation method of m
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Size: 7649808 |
Author: 白展堂 |
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Description: 这是关于最有控制和鲁棒控制几乎最好的书，内容自包含，非常经典。
本书阐述了当代鲁棒与最优控制的主要和基本的内容，其中包含了作者对该理论作出的重要贡献。
全书共为二十一章。第一章为绪论；第二章是阅读本书的数学基础；第三章为线性系统理论基础；第四章定义了信号的范数以及稳定系统的输入——输出增益；第五章论述了反馈结构的稳定性和性能特征；第六章引入了Bode敏感积分关系和Poisson积分公式在多变量时的形式；第七章讨论了用平衡截断法对线性多变量系统进行降阶；第八章研究Hankel范数近似及其在范数模型降阶中的应用；第九章采用小增益定理对不同模型假设下的系统推导鲁棒稳定性检验；第十章引入线性分式变换（LFT）；第十一章研究了有多个不确定性源的系统鲁棒稳定性及性能。-This the most control and robust control almost the best, the book contains content from the very classic. The book described the contemporary robustness and optimal control of the main and basic content, which contains the authors of this theory make an important contribution. A total of 21 book chapters. Introduction of the first chapter; Chapter II is the book to read the mathematical basis; Chapter III of linear systems theory; Chapter IV definition of the scope of the signal and stability of a number of the input-- output gain; fifth chapter on the structural stability of feedback and performance characteristics; Chapter VI introduced Bode sensitive integral relations and Poisson integral multi- variable formula in the form; Chapter 7 discusses the balanced truncation method of m
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Size: 7649280 |
Author: 白展堂 |
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Description: 根据脉冲序列，使用Hankel矩阵法求系统脉冲响应传递函数-According to pulse sequence, the use of Hankel matrix method for system impulse response transfer function
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Size: 1024 |
Author: 黎明 |
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Description: 系统辨识，面积法（面积法一，面积法二），hankel矩阵法，Levy法，脉冲响应法辨识系统-System identification, an area of law (an area of law an area of law 2), hankel matrix method, Levy law, impulse response method Identification System
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Size: 5120 |
Author: 园园 |
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Description: 系统辨识经典辨识方法，其中包括levy法，差分法，Hankel矩阵法；系统辨识的最小二乘方法，其中包括最小二乘一次算法，最小二乘递推算法-System identification classical identification methods, including the levy method, differential method, Hankel matrix system identification of the least squares method, including a least squares algorithm, recursive least squares algorithm
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Size: 3072 |
Author: 毛绍婧 |
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Description: 系统辨识的模型阶次辨识，其中包括Hankel矩阵法，残差法，行列式法-System identification of model order identification, including Hankel matrix method, residual method, the determinant method
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Size: 2048 |
Author: 毛绍婧 |
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Description: (1)按残差方差定阶，(2) AIC准则，(3)按残差白色定阶，(4)零点—极点消去检验定阶，(5)利用行列式比定阶，(6)利用Hankel矩阵定阶。课件为学习系统模型定阶的方法，希望对大家有用。-(1) the residual variance given order, (2) the AIC criteria, (3) order determination of residual white, (4) Zero- Pole to eliminate test order determination, (5) use of a determinant than the fixed-order, (6)Hankel matrix order determination. Courseware for learning the method of the system model order and the hope that useful.
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Size: 210944 |
Author: lvqiang |
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Description: 提出了一种结合SVD的小波变换方法，对其在外弹道测量数据中的野值剔除进行了研究。对观测数据进行小波分解，将小波分解后的近似分量和细节分量组合实现相空间重构，作为SVD方法的输入观测矩阵，根据奇异
熵增量准则，对奇异值进行筛选，根据SVD逆变换重构原信号。这一方法克服了Hankel矩阵相空间构建方法数据
端点失真问题。以小波分解后分量重构的相空间可以满足正交性，进一步提高了SVD进行数据降噪和野值检测的精度。仿真数据和试验数据处理结果证明了这一方法的有效性。-Proposed a method of combining the SVD wavelet transform its outer ballistic measurement data in excluding outliers were studied. Observational data on wavelet decomposition, wavelet decomposition of the approximate combined component and detail component to achieve the phase space reconstruction, as the input observation matrix SVD method, based on singular entropy increment standards, singular value filter, according to the inverse transform heavy SVD structure of the original signal. This approach overcomes the Hankel matrix phase space construction method data endpoint distortion. Wavelet decomposition component of reconstruction phase space satisfy orthogonality, to further improve the SVD for data noise reduction and outlier detection accuracy. Simulation data and experimental data processing results prove the effectiveness of this approach.
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Size: 314368 |
Author: 张力 |
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Description: test2:
一、 基本最小二乘法一次算法
二、 基本最小二乘法递推算法
三、 最小二乘遗忘因子一次完成算法
四、 最小二乘遗忘因子递推算法
五、 最小二乘限定记忆算法
六、 最小二乘偏差补偿算法
七、 增广最小二乘算法
八、 广义最小二乘算法
test3:
一、 辅助变量自适应滤波算法
二、 辅助变量纯滞后算法
三、 辅助变量Tally原理算法
四、 多级最小二乘算法
五、 各类改进最小二乘算法的特点
test4:
1、 第二类随机性辨识问题的梯度校正
2、 随机牛顿法
test5:
1、 递推的极大似然估计
2、 预报误差参数辨识
test6:
1、 根据Hankel矩阵秩估计模型阶次(弱噪声)
2、 根据Hankel矩阵秩估计模型阶次(强噪声)
3、 利用行列式比估计模型阶次（白噪声）
4、 利用行列式比估计模型阶次（有色噪声）
5、 利用残差的方差估计模型阶次（白噪声）
6、 利用残差的方差估计模型阶次（有色噪声）
7、 AIV定阶法（白噪声）
8、 AIV定阶法（有色噪声）
test7:
1、 一阶惯性+纯滞后环节-----两点法
2、 面积法1
3、 levy法
-test2:
First, the basic method of least squares algorithm once
Second, the basic recursive least squares algorithm
Third, once the forgetting factor least squares algorithm
Fourth, the forgetting factor recursive least squares algorithm
Fifth, the least-squares algorithm limited memory
Six , least squares error compensation algorithm
Seven , extended least squares algorithm
Eight , generalized least squares algorithm
test3:
An auxiliary variable adaptive filtering algorithm
Second, the auxiliary variable time delay algorithm
Third, the principle of auxiliary variable algorithm Tally
Fourth, multi-stage least squares algorithm
Fifth, the least squares algorithm to improve the characteristics of various types of
test4:
1, the second class of stochastic gradient identification problem corrected
2 , randomized Newton
test5:
1, the recursive maximum likelihood estimation
2, the prediction error parameter identification
test6:
1 , according to the Hankel matrix rank est
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Size: 445440 |
Author: yurong |
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Description: Hankel矩阵法确定系统的阶次，Hankel矩阵法确定系统的传递函数参数-Hankel matrix method for determining the order of the system, Hankel matrix method to determine the system transfer function parameters
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Size: 2048 |
Author: Zhou Lee |
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Description: 使用Hankel矩阵法、面积法、Levy法计算系统的传递函数参数，参数辨识-Using Hankel matrix method, area method, Levy method for computing system transfer function parameters, parameter identification
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Size: 5120 |
Author: Zhou Lee |
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Description: 本程序可以实现使用Winner-Hopf最小二乘法来计算Hankel滤波系数，计算得到的滤波系数具有精度高、长度短的优点。-This procedure can be implemented to calculate Hankel Winner-Hopf filter coefficients using the least squares method, the filter coefficient calculated with high accuracy, short length advantage.
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Size: 602112 |
Author: 索光运 |
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Description: 基于核函数展开法的hankel变换的算法（主要是pravin的方法和zhq的方法）-Algorithm based on kernel function expansion method hankel transform (mainly pravin zhq methods and methods)
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Size: 1024 |
Author: 朱某某 |
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Description: 此方法为Hankel矩阵法辨识出系统的传递函数(Hankel matrix method)
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Size: 367616 |
Author: hellocpu
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