Paper Info
Title
A Chain Observer For A Class Of Nonlinear Systems With Long Multiple Delays In Output Measurements
Abstract
The main contribution of this paper is to present a chain observer for a class of nonlinear systems when the output measurements are affected by a long known and multiple bounded time-varying delay. The proposed observer is composed of a chain of observers with similar algorithm. Each observer estimates the state over a time horizon, while the first observer of the chain estimates the current state. The structure of each observer of the chain is based on the presence of a dynamical term which permits the compensation of the delay. The observer gains are computed by a set of parameterized Linear Matrix Inequalities (LMIs) which depends on the delay. A Lyapunov-Krasovskii functional is used to demonstrate the asymptotical convergence to zero of the observation error. The performance of the proposed observer is evaluated through a numerical example.
Year
DOI
Venue
2018
10.23919/ECC.2018.8550594
2018 EUROPEAN CONTROL CONFERENCE (ECC)
Keywords
Field
DocType
Chain observer, multiples delay, Lyapunov-Krasovskii, Linear Matrix Inequalities, long delay
Convergence (routing),Parameterized complexity,Nonlinear system,Time horizon,Matrix (mathematics),Control theory,Exponential stability,Observer (quantum physics),Mathematics,Bounded function
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Boubekeur Targui151.47
Omar Hernandez-Gonzalez200.34
Carlos-M. Astorga-Zaragoza3125.36
Mathieu Pouliquen4178.63
Olivier Gehan5243.13