Open AccessSecure filtering for stochastic non‐linear systems under multiple missing measurements and deception attacks
Author(s) -
Yuan Huanhuan,
Xia Yuanqing
Publication year - 2018
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2017.0868
Subject(s) - deception , computer science , set (abstract data type) , class (philosophy) , mathematical optimization , electric power system , stochastic process , control theory (sociology) , power (physics) , mathematics , artificial intelligence , control (management) , law , statistics , physics , quantum mechanics , political science , programming language
In this study, a secure filtering problem is investigated for a class of uncertain stochastic non‐linear systems. A novel multiple channel attack model is established to account for the missing measurements and random deception attacks, which are assumed to occur in the insecure networks. The concept of φ ‐level security is proposed to quantify the degree of security. With the techniques of stochastic analysis, sufficient conditions are derived to provide the filtering systems φ ‐level security. Moreover, secure filtering gains are characterised by the solution to a set of inequality constraints. Numerical simulations on a power grid system are exploited to illustrate the effectiveness of the proposed design methodology.