DocumentCode
3669264
Title
H∞ robust filter design for a class of nonlinear stochastic poisson jump systems
Author
Bor-Sen Chen;Chien-Feng Wu
Author_Institution
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan 30013, R.O.C.
fYear
2015
Firstpage
1557
Lastpage
1561
Abstract
Since the nonlinear dynamic systems in engineering, economics and biology may suffer from both continuous Wiener process and discontinuous Poisson process, the robust filter design for a class of nonlinear stochastic Poisson jump systems with external disturbances is studied in this paper. At present, there exists no good filter design method to treat the discontinuous Poisson process filter problem. Based on Ito-Levy formula, a robust H∞ filter design is proposed for nonlinear stochastic Poisson jump systems by solving a Hamilton-Jacobi inequality (HJI) for the robust filter design of nonlinear stochastic Poisson jump system. The optimal H∞ robust filter design problem for the nonlinear stochastic Poisson jump system is also discussed in this study.
Keywords
"Robustness","Stochastic processes","Stochastic systems","Noise","Asymptotic stability","Stability analysis","Mathematical model"
Publisher
ieee
Conference_Titel
Automation Science and Engineering (CASE), 2015 IEEE International Conference on
ISSN
2161-8070
Electronic_ISBN
2161-8089
Type
conf
DOI
10.1109/CoASE.2015.7294322
Filename
7294322
Link To Document