Finite-time energy-to-peak filtering for Markov jump repeated scalar non-linear systems with packet dropouts

Title
Finite-time energy-to-peak filtering for Markov jump repeated scalar non-linear systems with packet dropouts
Author(s)
박주현Hao Shen[Hao Shen]ZG Wu[ZG Wu]
Keywords
SLIDING MODE CONTROL; STATE ESTIMATION; DELAY SYSTEMS; LINEAR-SYSTEMS; TRANSITION-PROBABILITIES; OUTPUT-FEEDBACK; PERFORMANCE; STABILIZATION
Issue Date
201411
Publisher
INST ENGINEERING TECHNOLOGY-IET
Citation
IET CONTROL THEORY AND APPLICATIONS, v.8, no.16, pp.1617 - 1624
Abstract
This study is concerned with the finite-time energy-to-peak filtering problem for Markov jump repeated scalar non-linear systems with packet dropouts. The packet dropout phenomenon occurs in a random way and is modelled by a stochastic variable satisfying the Bernoulli distribution. The purpose of the study is to design a filter such that the resulting filtering error system is stochastically finite-time bounded, and a prescribed energy-to-peak performance level is achieved over a finite time interval. By using the mode-dependent diagonally dominant Lyapunov function approach, some strict linear matrix inequality-based conditions are established for the existence of an admissible filter, and a corresponding explicit parameterisation of such a filter is obtained. Finally, a numerical example with simulation is presented to demonstrate the effectiveness of our proposed approach.
URI
http://hdl.handle.net/YU.REPOSITORY/30460http://dx.doi.org/10.1049/iet-cta.2013.1068
ISSN
1751-8644
Appears in Collections:
공과대학 > 전기공학과 > Articles
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