Abstract
In this paper, we introduced the concept of input and state observability, that is, conditions under which both the unknown input and state can be estimated from the output measurements. We discussed sufficient and necessary conditions for a discrete-time system to be input and state observable. Next, we developed a subspace identification algorithm that identified the state space matrices and reconstructed the unknown input using output measurements and known inputs.
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