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