📄 lti_disc.m
字号:
%LTI_DISC Discretize LTI ODE with Gaussian Noise
%
% Syntax:
% [A,Q] = lti_disc(F,L,Qc,dt)
%
% In:
% F - NxN Feedback matrix
% L - NxL Noise effect matrix (optional, default identity)
% Qc - LxL Diagonal Spectral Density (optional, default zeros)
% dt - Time Step (optional, default 1)
%
% Out:
% A - Transition matrix
% Q - Discrete Process Covariance
%
% Description:
% Discretize LTI ODE with Gaussian Noise. The original
% ODE model is in form
%
% dx/dt = F x + L w, w ~ N(0,Qc)
%
% Result of discretization is the model
%
% x[k] = A x[k-1] + q, q ~ N(0,Q)
%
% Which can be used for integrating the model
% exactly over time steps, which are multiples
% of dt.
% History:
% 11.01.2003 Covariance propagation by matrix fractions
% 20.11.2002 The first official version.
%
% Copyright (C) 2002, 2003 Simo S鋜kk
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