Optimal Luenberger Observer
Finite horizon
Let us consider a LTI system with additive Gaussian noise and a Luenberger observer The state estimate's error and its covariance can be expressed recursively as The gain can then be designed such that is minimized. This can be achieved by finding the stationary point , where Substituting (3) back into (2b) we attain the DDRE which governs the evolution of the state error's covariance.
The state of the observer then consists of and , its dynamics described by (1) and (4). This observer can also be used in the case where the dynamics of the system are time variant.
Infinite horizon
In the case where the covariances of the process and measurement noise are time-invariant, i.e. we can also design the gain of the observer based on the steady-state error covariance at . The covariance can be obtained by solving the DARE based on which we evaluate the gain
Duality with LQR
It is of note that the form of (4) and (5) is identical to those of the LQR with different matrices:
LQR | Luenberger |
---|---|