文献类型：期刊文献

英文题名：Output feedback adaptive inverse optimal security control for stochastic nonlinear cyber-physical systems under sensor and actuator attacks

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：112

期号：21

起止页码：19243

外文期刊名：NONLINEAR DYNAMICS

收录：;EI(收录号：20243116797698);WOS:【SCI-EXPANDED(收录号:WOS:001280276500002)】；

基金：No Statement Available

语种：英文

外文关键词：Stochastic nonlinear system; Non-strict feedback; Sensor and actuator attacks; Inverse optimal control; Adaptive control

摘要：This paper addresses the inverse optimal security control problems for a class of stochastic non-strict feedback nonlinear cyber-physical systems under sensor and actuator attacks. The concerned system model includes both stochastic disturbances and more general nonlinearity. First, to make the control design feasible, a linear state transformation is applied to the attacked system. Furthermore, in the process of backstepping design, based on the Nussbaum gain function formula, fuzzy logic system approximation method, and inverse optimal control theory, combing the available output signal, an output feedback inverse optimal controller is proposed. Specifically, the designed controller not only ensures that the system is secure under network attacks but also optimal in terms of the cost function. Finally, two physical examples are given to verify the effectiveness of the proposed control scheme in various network attacks.