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An adaptive observer for joint estimation of states and parameters in both state and output equations
Abstract : An adaptive observer is a recursive algorithm for joint state-parameter estimation of parameterized state-space systems. Previous works on globally convergent adaptive observers consider unknown parameters either in state equations or in output equations, but not in both of them. In this paper, a new adaptive observer is designed for linear time-varying systems with unknown parameters in both state and output equations. Its global convergence for simultaneous estimation of states and parameters is formally established under appropriate assumptions. A numerical example is presented to illustrate the performance of this adaptive observer.
https://hal.inria.fr/hal-00777420
Contributor : Qinghua Zhang <>
Submitted on : Thursday, January 17, 2013 - 2:54:37 PM
Last modification on : Friday, April 5, 2019 - 3:37:25 PM
Contributor : Qinghua Zhang <>
Submitted on : Thursday, January 17, 2013 - 2:54:37 PM
Last modification on : Friday, April 5, 2019 - 3:37:25 PM
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