In this paper, the problems of parameter estimation are addressed for systems with scarce
measurements. A gradient-based algorithm is derived to estimate the parameters of the
input–output representation with scarce measurements, and the convergence properties of
the parameter estimation and unavailable output estimation are established using the
Kronecker lemma and the deterministic version of the martingale convergence theorem.
Finally, an example is provided to demonstrate the effectiveness of the proposed algorithm.