Title

Sampled-Data Estimator for Nonlinear Systems with Arbitrarily Fast Rate of Convergence

Document Type

Conference Proceeding

Publication Date

7-1-2020

Abstract

We study continuous-time nonlinear systems with discrete measurements. We provide an estimate of the state variable that converges with a rate of convergence that can be made arbitrarily large by reducing the size of the largest sampling interval. Our proof of the convergence result is based on a recently developed trajectory based approach.

Publication Source (Journal or Book title)

Proceedings of the American Control Conference

First Page

1685

Last Page

1689

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