Adaptive control of a class of strict feedback nonlinear systems under replay attacks.

The adaptive control of a class of strict-feedback nonlinear system under replay attack is investigated in this paper. Durations of each attack and the resting time after each attack are analyzed and their explicit bounds are presented to ensure closed-loop stability. Two scenarios are considered. In the first scenario, it is shown that if the duration of each attack is less than a given constant, asymptotical convergence of system output is still preserved. The second scenario shows that if the resting time of each attack meets certain condition after each arbitrarily long duration of attack, closed-loop boundedness is still preserved. This shows that the system controlled under our proposed adaptive controller will not be broken down even in the presence of replay attacks. Simulation results are given to illustrate the effectiveness of the control schemes.

[1]  Qing-Guo Wang,et al.  Event-triggered adaptive control of a class of nonlinear systems. , 2019, ISA transactions.

[2]  Frank L. Lewis,et al.  Robot Manipulator Control: Theory and Practice , 2003 .

[3]  Dan Ye,et al.  Stochastic coding detection scheme in cyber-physical systems against replay attack , 2019, Inf. Sci..

[4]  Henrik Sandberg,et al.  A Survey of Physics-Based Attack Detection in Cyber-Physical Systems , 2018, ACM Comput. Surv..

[5]  Bruno Sinopoli,et al.  On the Performance Degradation of Cyber-Physical Systems Under Stealthy Integrity Attacks , 2016, IEEE Transactions on Automatic Control.

[6]  Wei Wang,et al.  Adaptive Event-Triggered Control of Nonlinear Systems With Controller and Parameter Estimator Triggering , 2020, IEEE Transactions on Automatic Control.

[7]  Guoqiang Hu,et al.  Secure Fusion Estimation for Bandwidth Constrained Cyber-Physical Systems Under Replay Attacks , 2018, IEEE Transactions on Cybernetics.

[8]  Yongduan Song,et al.  Adaptive finite-time consensus control of a group of uncertain nonlinear mechanical systems , 2015, Autom..

[9]  Cheolhyeon Kwon,et al.  Cyber attack mitigation for cyber–physical systems: hybrid system approach to controller design , 2016 .

[10]  Changyun Wen,et al.  Adaptive cyber-physical system attack detection and reconstruction with application to power systems , 2016 .

[11]  Dan Zhang,et al.  Asynchronous State Estimation for Discrete-Time Switched Complex Networks With Communication Constraints , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[12]  Yongduan Song,et al.  Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions , 2018, IEEE Transactions on Cybernetics.

[13]  Tao Zhang,et al.  Event-triggered filter design for nonlinear cyber-physical systems subject to deception attacks. , 2020, ISA transactions.

[14]  Yongduan Song,et al.  Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries , 2018, Inf. Sci..

[15]  Tiedong Ma,et al.  Adaptive odd impulsive consensus of multi-agent systems via comparison system method , 2020 .

[16]  Yongduan Song,et al.  Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference , 2017, Autom..

[17]  Bruno Sinopoli,et al.  Secure control against replay attacks , 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[18]  Changyun Wen,et al.  Distributed adaptive leader-follower and leaderless consensus control of a class of strict-feedback nonlinear systems: a unified approach , 2020, Autom..

[19]  Miroslav Krstic,et al.  Nonlinear and adaptive control de-sign , 1995 .

[20]  Sonia Martínez,et al.  On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks , 2013, IEEE Transactions on Automatic Control.

[21]  Tansel Yucelen,et al.  An Adaptive Control Architecture for Mitigating Sensor and Actuator Attacks in Cyber-Physical Systems , 2017, IEEE Transactions on Automatic Control.

[22]  Huaguang Zhang,et al.  Critic-only adaptive dynamic programming algorithms' applications to the secure control of cyber-physical systems. , 2020, ISA transactions.

[23]  Guang-Hong Yang,et al.  Input-to-State Stabilizing Control for Cyber-Physical Systems With Multiple Transmission Channels Under Denial of Service , 2018, IEEE Transactions on Automatic Control.

[24]  Kenji Kashima,et al.  Replay attack detection in control systems with quantized signals , 2015, 2015 European Control Conference (ECC).

[25]  Pietro Tesi,et al.  Input-to-State Stabilizing Control Under Denial-of-Service , 2015, IEEE Transactions on Automatic Control.

[26]  Qing-Guo Wang,et al.  Decentralized adaptive control of interconnected nonlinear systems with unknown control directions. , 2018, ISA transactions.

[27]  Zhengzhi Han,et al.  A note on observers for Lipschitz nonlinear systems , 2002, IEEE Trans. Autom. Control..

[28]  Florian Dörfler,et al.  Attack Detection and Identification in Cyber-Physical Systems -- Part II: Centralized and Distributed Monitor Design , 2012, ArXiv.

[29]  Xiangpeng Xie,et al.  State estimation for cyber-physical systems with limited communication resources, sensor saturation and denial-of-service attacks. , 2020, ISA transactions.

[30]  Yang Xiang,et al.  A survey on security control and attack detection for industrial cyber-physical systems , 2018, Neurocomputing.