Title :
H∞ filtering for non-linear stochastic markovian jump systems
Author :
Lin, Zhiyun ; Lin, Yashen ; Zhang, Wensheng
Author_Institution :
Sch. of Autom., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fDate :
12/1/2010 12:00:00 AM
Abstract :
This study deals with the H∞ filtering problem for a class of non-linear stochastic Markovian jump systems (NSMJS) as to both accessible and non-accessible jumping parameters cases. For this class of systems with measurable Markovian jumping parameters, sufficient conditions are expressed for the non-linear stochastic H∞ and mixed H2/H∞ filtering design in terms of a set of N-, 2N-coupled Hamilton-Jacobi inequalities (HJIs), respectively. On the other hand, as to the non-accessible jumping parameters case, a fault-tolerant H∞ filter is introduced for NSMJS with a jump detection and identification scheme, which is determined by a set of N×M-coupled HJIs. Finally, a numerical example is given to show the usefulness of the results derived.
Keywords :
H∞ control; Markov processes; differential equations; fault tolerance; nonlinear systems; stochastic systems; 2N-coupled Hamilton-Jacobi inequalities; N×M-coupled HJI; fault-tolerant H∞ filter; jump detection; jump identification scheme; nonlinear stochastic Markovian jump systems;
Journal_Title :
Control Theory & Applications, IET
DOI :
10.1049/iet-cta.2009.0393