LQI and LQE control Simulink Model

Perform LQI and LQE for control and estimation of a system with disturbances
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Updated 16 Jan 2026

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The attached simulink model consists of:
-- A plant that is under input disturbance and measurement noise
-- An observer that is used to estimate the plant's states, using LQE action, i.e. a Kalman filter.
-- Through this observer, an LQR feedback control is used, with an additional Integral action, i.e., an LQI control.
In thte output scopes, we can observe the 3 outputs:
-- The real output, which is assumed to be unknown (here since thtis is a simulation, we can see it)
-- The measured output, which is noisy
-- The observer output, which estimates the real output
-- In 2 separate scopes, we can also see the observer's state estimations, for the plant's states.
Lazaros Moysis

Cite As

Lazaros Moysis (2026). LQI and LQE control Simulink Model (https://uk.mathworks.com/matlabcentral/fileexchange/161021-lqi-and-lqe-control-simulink-model), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Version Published Release Notes
1.0.1

added video links

1.0.0