A state-space model is commonly used for representing a linear time-invariant (LTI) system. It describes a system with a set of first-order differential or difference equations using inputs, outputs, and state variables. In the absence of these equations, a model of a desired order (or num...
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ARMA modelKalman filterstate space methodsunobserved componentssoftware toolsTRAMO/SEATSState Space Models (SSM) is a MATLAB toolbox for time series analysis by state space methods. The software features fully interactive construction and combination of models, with support for univariate and multivariate...
3. Matlab: 3.1 常用函数: 当我们知道系统的 A B C D 时,可以用 ss( ) 函数快速创建系统: % Define A, B, C, D matrices A = [0 1; -5 -6]; B = [0; 2]; C = [0 1; 0 1]; D = [0;0]; % Create state space model sys = ss(A,B,C,D) sys = A = x1 x2 x1 0...
You can create a standard, diffuse, or Bayesian linear or nonlinear state-space model using ssm, dssm, bssm, or bnlssm, respectively. For an overview of supported state-space model forms and to learn how to create a model in MATLAB®, see Create Continuous State-Space Models for Econom...
从原理上说，State-Space模块的Initial conditions应该设置成列向量（因为状态向量x是列向量），但从实际情况看，其实是可以随便设置的，行向量或列向量都可以，甚至设置成矩阵也可以（前提是元素个数能对的上）。猜测很可能是其内部对输入数据做了强制转换成列向量的处理，即使用的是x0(:)。
从原理上说，State-Space模块的Initial conditions应该设置成列向量（因为状态向量x是列向量），但从实际...
Empty state-space model,空的状态空间模型，楼主是在用MATLAB建模吧，是不是模型有什么错误。建模首先要保证模型正确，其次对应的m文件本身也要正确，最后两者还要完美融合在一起，建立的模型才能正确运行。这个过程很容易出现问题，并且不容易寻找，比调试一个单纯的m文件程序更复杂，楼主还是耐住性子仔细...
1. Is model parameter initialization incrorrect? 2. do I need to specify advanced settings using ssestoptions? 3. Is any fundamental knowledge lacking before trying this approach for obtaiing state space model of a MIMO system? 답변 (0개) ...
The dssm function returns a dssm object specifying the functional form and storing the parameter values of a diffuse linear Gaussian state-space model for a latent state process xt possibly imperfectly observed through the variable yt. The variables xt and yt can be univariate or multivariate and...