State-Space Control Design and Estimation

Linear-Quadratic-Gaussian control, pole placement, Kalman estimators

Use state-space control design methods, such as LQG/LQR and pole-placement algorithms. The toolbox also provides tools for designing observers, including linear and nonlinear Kalman filters.

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Featured Examples

Estimate States of Nonlinear System with Multiple, Multirate Sensors

Use an Extended Kalman Filter block to estimate the states of a system with multiple sensors that are operating at different sampling rates.

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Nonlinear State Estimation of a Degrading Battery System

Estimate the states of a nonlinear system using an Unscented Kalman Filter in Simulink®. The example also illustrates how to develop an event-based Kalman Filter to update system parameters for more accurate state estimation. This example also requires Simscape™ and Stateflow®.

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Detect Replay Attacks in DC Microgrids Using Distributed Watermarking

Detect replay attacks in cyber-physical systems using watermark signals and Kalman filters.

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