Mathematics > Dynamical Systems
[Submitted on 19 Oct 2014 (v1), last revised 17 Mar 2015 (this version, v2)]
Title:Optimization-based State Estimation under Bounded Disturbances
View PDFAbstract:This paper studies an optimization-based state estimation approach for discrete-time nonlinear systems under bounded process and measurement disturbances. We first introduce a full information estimator (FIE), which is given as a solution to minimize a cost function by using all the available measurements. Then, we prove that the FIE of an incrementally input/output-to-state stable system is robustly globally asymptotically stable under a certain class of cost functions. Moreover, the implications and relationships with related results in the literature are discussed. Finally, a simple example is included to illustrate the theoretical results.
Submission history
From: Wuhua Hu [view email][v1] Sun, 19 Oct 2014 03:53:28 UTC (52 KB)
[v2] Tue, 17 Mar 2015 15:02:32 UTC (68 KB)
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