Improved adaptive resilient control against sensor and actuator attacks

被引:157
作者
An, Liwei [1 ]
Yang, Guang-Hong [1 ,2 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Sensor attacks; Actuator attacks; Adaptive control; Resilient control; Asymptotic stability; State constraints; NETWORKED CONTROL-SYSTEMS; FAILURE COMPENSATION CONTROL; UNCERTAIN NONLINEAR-SYSTEMS; BARRIER LYAPUNOV FUNCTIONS; CYBER-PHYSICAL SYSTEMS; FAULT-TOLERANT CONTROL; DESIGN; ROBUST;
D O I
10.1016/j.ins.2017.09.042
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, an improved adaptive resilient control scheme is proposed for mitigating adversarial attacks in cyber-physical systems (CPSs). By introducing a two-step backstepping approach, an adaptive bound estimation mechanism and a Nussbam function with faster growth rate, the effects of unknown sensor and actuator attacks are successfully mitigated. An exponentially-decaying barrier Lypunov function is used to constrain state variables. Compared with the existing results where only uniform ultimate boundedness is achieved, the developed controller guarantees that the closed-loop system is asymptotically stable and simultaneously the state constraints are not violated even in the presence of the time-varying sensor and actuator attacks. Simulation results are presented to verify the efficacy of the proposed scheme. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:145 / 156
页数:12
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