Analysis and Design of Secure Sampled-Data Control Subject to Denial-of-Service Attacks
- Resource Type
- Periodical
- Authors
- Sana, H.; Mustafa, G.; Khan, O.; Ashraf, N.; Khan, A.Q.; Abid, M.; Khan, H.U.R.
- Source
- IEEE Access Access, IEEE. 11:48454-48462 2023
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Denial-of-service attack
Degradation
Control design
Feedback loop
State feedback
Cyber-physical systems
Stability criteria
denial-of-service attacks
secure control
linear quadratic cost
performance degradation
- Language
- ISSN
- 2169-3536
This study addresses the issue of secure control design for cyber-physical systems (CPS) against denial of service (DoS) attacks. We take into account a continuous-time linear system with a convex quadratic performance measure and a sampled linear state feedback control. DoS attacks impose constraints on the CPS, where packets may be jammed between the sensor and controller by a malicious entity, potentially resulting in system instability and performance degradation. We assume that the attacker can perform DoS attacks with a limited time and frequency due to energy restrictions. We devise an efficient procedure using the linear matrix inequality approach to compute an upper bound on the performance degradation brought on by the DoS attack. We also propose a redesign of the controller to minimize this performance degradation. Finally, a simulation example illustrates the computation of the performance degradation under a bounded DoS attack and the design of a secure controller. Simulation results show that the designed controller effectively keeps the feedback loop’s performance and stability under attack.