State estimation for a class of singular systems

Abstract
The linear state estimation for a class of singular systems is formulated using the sequential linear estimator solution developed in steady-state systems. This procedure is based on sequential processing of the covariance of the estimate arising from the solution of the least-squares problem. The convergence conditions of the state estimate are established. An application to state and input estimation in the dynamic discrete system is presented.

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