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Missing Output Identification Model Based Recursive Least Squares Algorithm for a Distributed Parameter System

Jing Chen, Bin Jiang*, and Juan Li
International Journal of Control, Automation, and Systems, vol. 16, no. 1, pp.150-157, 2018

Abstract : "This paper proposes a recursive least squares algorithm for a distributed parameter system with missing observations. By using the finite difference method, the distributed parameter system can be turned into a lumped parameter system. Then a missing output identification model based recursive least squares algorithm is derived to estimate the unknown parameters of the lumped parameter system. Furthermore, the parameters of the distributed parameter system can be computed by the estimated parameters of the lumped parameter system. The simulation results indicate that the proposed method is effective."

Keyword : "Distributed parameter system, finite difference method, missing output identification model, parameter estimation, recursive least squares."

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