Title
Improved set-membership guaranteed state estimation for uncertain non-linear systems
Abstract
This paper presents a new improved set-membership algorithm for guaranteed state estimation for non-linear discrete-time systems with an unknown but bounded description of disturbance and noise. In this paper, the non-linear model is linearized first and the difference of convex (DC) programming method is used to outer-bound the linearization error, which is regarded as a disturbance of the system, and the improved set-membership algorithm guaranteed state estimation for the linearization system. An example is given to illustrate the proposed algorithm.
Year
DOI
Venue
2018
10.1177/0142331216686158
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
Keywords
DocType
Volume
State estimation,set-membership,uncertain non-linear system
Journal
40.0
Issue
ISSN
Citations 
5
0142-3312
1
PageRank 
References 
Authors
0.35
12
3
Name
Order
Citations
PageRank
Fu-qiang You163.29
Hualu Zhang220.71
Fuli Wang35212.61