Sensor attack correction for linear systems with known inputs

作     者：Tang, Zhanghan Kuijper, Margreta Chong, Michelle Mareels, Iven Leckie, Christopher 

作者机构：School of Electrical and Electronic Engineering University of Melbourne Australia Department of Automatic Control KTH Royal Institute of Technology Sweden IBM Research Australia Australia School of Computing and Information Systems University of Melbourne Australia 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2018年第51卷第23期

页      面：206-211页

核心收录：

主　　题：Linear systems Error correction Invariance MIMO systems Time varying control systems Attack detection Behavioural approach Discrete time linear time invariant systems Multi input multi output System representation System security 

摘      要：We address the problem of attack detection and attack correction for multi-input multi-output discrete-time linear time-invariant systems under sensor attacks. More specifically, we consider the situation that a system with known input is corrupted by additive adversarial attack signals on some of the system s outputs. In this paper, we use system representation in a behavioural approach, which allows for natural and compact statements regarding linear system security. We extend our earlier results for systems with zero inputs to systems with non-zero inputs. We assume that these non-zero inputs are known. © 2018