Kalman Filter For Beginners With Matlab Examples ((top)) Download Top Page

% Control Input Matrix (External force: Gravity) % We know gravity pulls it down, so we account for it. B = [0.5*dt^2; dt]; u = g; % Input magnitude (acceleration)

%% True dynamics (with no noise) true_pos = 0.5 * g * t.^2; % s = 0.5 g t^2 true_vel = g * t; % v = g*t % Control Input Matrix (External force: Gravity) %

measurement to calculate the new state, making it extremely fast for real-time systems. 2. MATLAB Implementation Guides & Code P_pred = A*P_est(i-1)*A' + Q

for i = 2:length(t) % Predict the state x_pred = A*x_est(i-1); P_pred = A*P_est(i-1)*A' + Q; To learn by doing

To learn by doing, you can download pre-made examples from the :