Title
On Non-Asymptotic Observation Of Nonlinear Systems
Abstract
In this contribution, we use the so-called algebraic derivative method for a non-asymptotic state observation of nonlinear SISO systems. We derive a general formula of a time-varying filter that allows a non-model-based, quasi-instantaneous estimation of time derivatives of arbitrary analog time signals. The estimates are based on integrals of measured signals alone. For preserving accuracy, the estimation process has to be re-initialized after some period of time. Besides resetting the estimation time-interval equidistantly, estimated absolute error bounds and integral error bounds are also used for improving the efficiency of the estimation process. As an example, we use Chen's chaotic oscillator to illustrate the velocity and the robustness of our observation method with respect to uncertainty of initial values and uniformly distributed measurement noise.
Year
DOI
Venue
2005
10.1109/CDC.2005.1582824
2005 44th IEEE Conference on Decision and Control & European Control Conference, Vols 1-8
Keywords
DocType
ISSN
observability,nonlinear systems,integral equations,oscillations,state observer,nonlinear system,noise measurement,signal analysis
Conference
0191-2216
Citations 
PageRank 
References 
9
2.68
2
Authors
3
Name
Order
Citations
PageRank
Johann Reger14017.29
Hebertt Sira Ram ´ irez292.68
Michel Fliess351372.22