loading page

An adaptive control scheme for switched nonlinear cyber-physical systems against state-dependent sensor attacks and input-dependent actuator attacks
  • Xiao Wang,
  • Ping Zhao
Xiao Wang
Shandong Normal University
Author Profile
Ping Zhao
Shandong Normal University

Corresponding Author:[email protected]

Author Profile


This paper considers the problem of adaptive control against deception attacks for a class of switched nonlinear cyber-physical systems (CPSs), in which each subsystem has more general and unknown nonlinearities. Specifically, an adaptive controller is designed for CPSs with unknown switching mechanisms to mitigate the impact of state-dependent sensor attacks and input-dependent actuator attacks. Compared with the existing researches, the actuator attacks considered in our paper are input-dependent, which means the controller is substantially attacked, besides, the signs of unknown time-varying gains caused by state-dependent sensor attacks and input-dependent actuator attacks are all unknown. To deal with these scenarios, Nussbaum-type functions are introduced. In addition, by constructing a common Lyapunov function for all subsystems, the closed-loop system signals are proved to be globally bounded under arbitrary switchings. Finally, we give a simulation example of a continuously stirred tank reactor system with state-dependent sensor attacks and input-dependent actuator attacks to illustrate the effectiveness of our results.
24 Dec 2022Submitted to International Journal of Robust and Nonlinear Control
24 Dec 2022Submission Checks Completed
24 Dec 2022Assigned to Editor
24 Dec 2022Review(s) Completed, Editorial Evaluation Pending
29 Dec 2022Reviewer(s) Assigned
17 Feb 2023Editorial Decision: Revise Minor
06 Apr 20231st Revision Received
10 Apr 2023Submission Checks Completed
10 Apr 2023Assigned to Editor
10 Apr 2023Review(s) Completed, Editorial Evaluation Pending
16 Apr 2023Reviewer(s) Assigned
26 May 2023Editorial Decision: Accept