Multi-innovation parameter and state estimation for multivariable state space systems Online publication date: Mon, 18-Nov-2019
by Xuehai Wang; Fang Zhu; Fenglin Huang
International Journal of Modelling, Identification and Control (IJMIC), Vol. 32, No. 3/4, 2019
Abstract: This work considers the modelling and estimation problem of multivariable state space systems. Based on the observer canonical form, the identification model is derived and a combined state and multi-innovation estimation algorithm is presented by means of the Kalman filter principle. The efficacy of the algorithm is verified by a simulation example.
Online publication date: Mon, 18-Nov-2019
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