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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State-Space Control Design
LQG/LQR and pole-placement algorithms
State Estimation
Design Kalman filters, estimate states during system operation, generate code and deploy to embedded targets

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.

Open Script

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®.

Open Script

State-Space Control Design and Estimation

Featured Examples

Estimate States of Nonlinear System with Multiple, Multirate Sensors

Nonlinear State Estimation of a Degrading Battery System

Control System Toolbox Documentation

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