文献类型：期刊文献

英文题名：Output Feedback Adaptive Fuzzy Inverse Optimal Security Control Against Sensor and Actuator Attacks for Nonlinear Cyber-Physical Systems

作者：Chen, Zebin[1];Yu, Zhaoxu[1];Li, Shugang[2]

机构：[1]East China Univ Sci & Technol, Dept Automat, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Shanghai Univ, Dept Informat Management, Shanghai 200444, Peoples R China

年份：2024

卷号：32

期号：5

起止页码：2554

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20240415429658);WOS:【SCI-EXPANDED(收录号:WOS:001214545400027)】；

基金：No Statement Available

语种：英文

外文关键词：Adaptive fuzzy control; inverse optimal control (IOC); network attacks; nonlinear cyber-physical systems (CPSs); output feedback

摘要：The optimal control problem of cyber-physical systems (CPSs) under network attacks is of practical significance, but it has yet to be thoroughly studied. This article focuses on this problem, and proposes an adaptive fuzzy inverse optimal output feedback control strategy for a class of nonlinear CPSs suffering from actuator and sensor attacks. First, a state transformation is implemented to change the attacked system into a new system for which output feedback control becomes feasible. Moreover, the Nussbaum gain function method is adopted to overcome the design difficulties caused by uncertain network attacks and unknown control coefficients. By combining inverse optimal control design theory, fuzzy logic systems method, and adaptive backstepping technique, a novel adaptive inverse optimal output feedback control scheme is developed to guarantee the security of the closed-loop system, i.e., the semi-global uniform ultimate boundedness of all signals in the closed-loop system. Meanwhile, the cost function is minimized to meet the control requirement on low power consumption. At last, the effectiveness and practicality of the proposed control method are verified through two simulation examples.