kalman()
Control Systems
kalman() is a MATLAB®-compatible control systems function for steady-state kalman filter gain, computed via lqr duality. qn is process noise covariance, rn is measurement noise covariance. Run it online in your browser with SimLab — free, no install, no license required.
Steady-state Kalman filter gain, computed via LQR duality. Qn is process noise covariance, Rn is measurement noise covariance.
Syntax
[Kf, P, e] = kalman(A, C, Qn, Rn)
Examples — run kalman() in your browser
A = [0, 1, 0; 0, 0, 1; -1, -2, -3]; C = [1, 0, 0]; [Kf, P, e] = kalman(A, C, eye(3), 1)▶ Run
See Also
More Control Systems Functions
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Frequently Asked Questions about kalman()
Is the kalman() function free to use in SimLab?
Yes. SimLab is 100% free — no signup, no license, and no usage limits. You can run kalman() and 510+ other MATLAB®-compatible functions directly in your browser at simulations4all.com/simlab.
Do I need to install MATLAB to use kalman()?
No. SimLab runs entirely in your web browser with zero installation. The kalman() function works without any MATLAB® license or software download.
What does kalman() do?
Steady-state Kalman filter gain, computed via LQR duality. Qn is process noise covariance, Rn is measurement noise covariance. It is a MATLAB®-compatible control systems function available in SimLab with the same calling syntax as MATLAB® — typically: [Kf, P, e] = kalman(A, C, Qn, Rn).
Can I run kalman() in my browser?
Yes. Open SimLab at simulations4all.com/simlab, write or paste code that calls kalman(), and run it. Execution happens locally in your browser — no data leaves your machine.
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