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Description: 对具有随机噪声的二阶系统的模型辨识，进行标幺化以后系统的参考模型差分方程为： y(k)=a1*y(k-1)+a2*y(k-2)+b*u(k-1)+s(k) 式中，a1=0.3366,a2=0.6634,b=0.68,s(k)为随机噪声。由于神经网络的输出最大为1，所以，被辨识的系统应先标幺化，这里标幺化系数为5。采用正向建模(并联辨识)结构，神经网络选用3-9-9-1型，即输入层i，隐层j包括2级，输出层k的节点个数分别为3、9、9、1个；由于神经网络的最大输出为1，因此在辨识前应对原系统参考模型标么化处理，辨识结束后再乘以标么化系数才是被辨识系统的辨识结果。-of random noise with the second-order system model, per-unit system after the reference model differential equation : y (k) = y* a1 (k-1) a2* y (k-2) b* u (k-1) s (k)- style, = 0.3366 a1, a2 = 0.6634, b = 0.68, s (k) as random noise. Because the neural network for a maximum output, therefore, the identification system should be per-unit, per-unit here coefficient of 5. Forward modeling (Parallel identification) structure, neural network-based selection 3-9-9-1, i input layer, hidden layer, including two j, k output layer to the number of nodes 3,9,9,1; The neural network the biggest losers up to one, in the original deal before Identification System Reference Model S Mody treatment, then multiplied by the end of Identification Standard Mody coefficient was recognition system is the ide
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Size: 874496 |
Author: 孙荣超 |
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Description: 利用Matlab求解带有时间延迟的Mackey-Glass系统，在非线性动力学中经常用到。可以用来求解类似的延迟微分方程系统。-using Matlab time delay with the Mackey-Glass Systems, Nonlinear Dynamics frequently used. Can be used to solve the differential equation similar to the delayed system.
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Size: 1024 |
Author: 贾强 |
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Description: 利用Maltab求解变参数lorenz方程,在非线性动力学和混沌研究中经常遇到类似的问题。本程序也可以求解类似的有变参数的微分方程系统如Chen system, Lv system, Rossler system 等。-use Maltab variational parameters lorenz equation, Nonlinear Dynamics and Chaos often encountered similar problems. The procedures also can be used to solve a similar change in the differential system parameters such as Chen system, Lv system, such as Rossler system.
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Size: 1024 |
Author: 贾强 |
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Description: 《Prolog Programming in Depth》:
In this book, we emphasize practical Prolog programming, not just theory. We
present several ready-to-run expert system shells, as well as routines for sorting,searching, natural language processing, and even numerical equation solving.
We also emphasize interoperability with other software. For example, Chapter 5 presents techniques for reading Lotus spreadsheets and other special file formats from within a Prolog program.-"Prolog Programming in Depth" : In this book, we emphasize practical Prolog programming, not just theory. We present several ready-to-r un expert system shells. as well as routines for sorting, searching, natural language processing, and even numerical equation solving. We also em phasize interoperability with other software . For example, Chapter 5 presents techniques for reading Lotu 's spreadsheets and other special file formats f rom within a Prolog program.
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Size: 1562624 |
Author: 胡大鹏 |
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Description: 详细介绍了波动方程怎样通过有限差分的方法离散化，是计算机模拟地震波、声波传播的理论基础，本人就是从中受益的，且编出的程序已在Unix-Linux系统中通过，绘出的图形得到了老师的认可-Described in detail how the wave equation through the finite difference method of discretization is a computer simulation of seismic waves, sound waves spread of the theoretical basis, I benefit from that, and that the procedures have been prepared in the Unix-Linux system is passed, the graphics have been drawn the teacher
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Size: 982016 |
Author: 罗锦华 |
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Description: The equation is written as a system of two first order ODEs. These are evaluated for different values of the parameter Mu. For faster integration, we choose an appropriate solver based on the value of the parameter Mu. -The equation is written as a system of two first order ODEs. These are evaluated for different values of the parameter Mu. For faster integration, we choose an appropriate solver based on the value of the parameter Mu.
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Size: 2048 |
Author: 楚燕 |
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Description: MIMO系统的典型zf均衡器的算法C＋＋实现。brief ZF Equalizer, i.e. Matrix inversion and multiplication
block, i.e. the solution of a linear equation system.-Zf typical MIMO systems equalizer algorithm C to achieve. brief ZF Equalizer, ie Matrix inversion and multiplicationblock, ie the solution of a linear equation system.
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Size: 6144 |
Author: 吴 昊 |
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Description: 病态系统的配套的拉普拉斯反变换：从状态方程到状态方程的解-Pathological system supporting the Laplace Transform: From the state equation to the solution of equation of state
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Size: 1024 |
Author: loser |
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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
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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.
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Size: 92160 |
Author: kedle |
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Description: 是有分布傅立叶算法解薛定谔方程的一个程序（下面我就不乱说说了请认真阅读您的文件包然后写出其具体功能(至少要20个字)。尽量不要让站长把时间都花费在为您修正说明上。压缩包解压时不能有密码。系统会自动删除debug和release目录，所以请不要将文件放在这两个目录下
）-Fourier algorithm is a distribution solution of the Schrodinger equation of a process (below that I do not talk nonsense, please read carefully your package and then write their specific functions (at least 20 words). As far as possible not to let the station time are spent on for your note on the amendment. decompress compressed packets can not have a password. The system will automatically delete the debug and release directory, so please do not file on these two directory)
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Size: 62464 |
Author: 要使用 |
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Description: 一个画一种Logistic Map 分岔图(bifurcation diagram)的程序，运行后，你们可以看到它与常规的非线性系统的行为不一样。该映射可以用如下方程表述:
xn=1-a*x2n-1
其中，a――[0,2].
-Logistic Map a painting of a bifurcation diagram (bifurcation diagram) procedures, running, you can see it with the conventional non-linear system behavior not the same. The mapping equation can be expressed as follows: xn = 1-a* x2n-1 of them, a- [0,2].
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Size: 1024 |
Author: 潘水洋 |
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Description: 差分方程求解
实验步骤：
主界面下进入实验五的“差分方程求解”子系统,输入希望看到的输出样点数
输入差分方程系数向量
输入顺序为：，。其中 N+1 为差分方程两边系数最大数目，如果有一边输入系数个数小于 N+1，将按不足系数为零计算。
输入系统初始状态向量
输入顺序为
鼠标单击确定按钮，以数值和图形两种方式显示单位冲激响应和输出响应
3） 确定差分方程形式：y(k)-y(k-1)+0.35y(k-2)=2x(k)-x(k-1)，-Experimental steps for solving differential equations: the main interface into five experimental " differential equation" subsystems, would like to see the output of input sample points difference equation coefficient of input vector input sequence as follows:,. One of N+1 differential equations for the maximum number of factors on both sides, if there is one less than the number of input coefficient of N+1, the calculation will be less than zero coefficient. Initial state vector input system for the importation of the order of the mouse button to click OK to both numerical and graphical display unit impulse response and output in response to 3) to determine the form of differential equation: y (k)-y (k-1)+0.35 y (k-2) = 2x (k)-x (k-1),
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Size: 14336 |
Author: 高荣 |
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Description: 微型惯性测量组合(MIMU：Micro-inertial measurement unit)是国际上近年来发展起来的新技
术，作为一种不依赖任何外部信息，也不向外部辐射能量的自主式系统-Abstract：The Micro strapdown inertial measurement unit
System are introduced, attitude algorithm and Kalman
filtering equation of parameter identifying of MIMU are
also described. Using four-order quaternion Runge-Kutta
method to update attitude algorithm is presented, the
corresponding simulation programs are described
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Size: 114688 |
Author: 曲雪 |
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Description: 光盘中的演示实例是人工智能原理和方法的演示程序.包括基于归结原理的推理系统,合一算法,等式归结,归类算法,野人与传教士过河问题,八数码问题,八皇后问题,一字棋,博弈算法,遗传算法和蚁群算法等的演示。-CD-ROM presentation of a number of examples of the hard work of graduate and undergraduate results. Including reasoning based on the principle of the system comes down, one algorithm, the equation boils down, classification algorithms, the issue of Savage and missionaries across the river, eight digital issues, the eight Queen' s question, the word game, game algorithm, genetic algorithms and ant colony algorithm, such as the presentation.
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Size: 26621952 |
Author: 解洪文 |
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Description: Wiley global position system inertial navigation system and integration.equation of gps ins and some example of the combination
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Size: 9872384 |
Author: kurt |
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Description: helpful scripts for simulating environmental system equation
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Size: 24576 |
Author: CeCe |
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Description: Code matlab sovle system equation by some numerical method.
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Size: 3072 |
Author: Suu Vu |
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Description: C++ Parallel program with MPI to solve a linear equation system
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Size: 1024 |
Author: Shripal |
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Description: Radar Systems Analysis and Design Using MATLAB
by Bassem R. Mahafza
Chapter 1
Radar Fundamentals
1.1. Radar Classifications
1.2. Range
MATLAB Function “pulse_train.m”
1.3. Range Resolution
MATLAB Function “range_resolution.m”
1.4. Doppler Frequency
MATLAB Function “doppler_freq.m”
1.5. Coherence
1.6. The Radar Equation
MATLAB Function “radar_eq.m”
1.6.1. Low PRF Radar Equation
MATLAB Function “lprf_req.m”
1.6.2. High PRF Radar Equation
MATLAB Function “hprf_req.m”
1.6.3. Surveillance Radar Equation
MATLAB Function “power_aperture_eq.m”
1.6.4. Radar Equation with Jamming
Self-Screening Jammers (SSJ)
MATLAB Program “ssj_req.m”
Stand-Off Jammers (SOJ)
MATLAB Program “soj_req.m”
Range Reduction Factor
MATLAB Function “range_red_fac.m”
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Size: 4774912 |
Author: Rakesh |
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