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- Title
Robust estimation for discrete time-delay Markov jump systems with sensor non-linearity and missing measurements.
- Authors
Jia You; Shen Yin; Zhandong Yu
- Abstract
This study addresses the H∞ filtering design issue for a class of time-delay Markov jump system with nonlinear characteristics. A stochastic system with sensor saturation and intermittent measurements is considered in the authors study. Random noise depending on state and external-disturbance are also taken into account. A decomposition approach and a bernoulli process are utilised to model the characteristic of sensor saturation and missing measurements, respectively. By transforming the filtering error system into an input-output form, sufficient conditions for the stochastic stability of the system with a prescribed H∞ level are presented with the help of Scaled Small Gain theorem developed for stochastic systems. Based on the proposed conditions, the rubost filter design approach is proposed. A numerical example is finally provided to demonstrate effectiveness of the proposed approahc.
- Subjects
ROBUST control; MARKOV processes; TIME delay systems; BERNOULLI effect (Fluid dynamics); RANDOM noise theory
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2014, Vol 8, Issue 5, p330
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/iet-cta.2013.0577