ADAPTIVE CONTROL AND SYSTEM RESILIENCE

In many real-world processes, there is an interplay between software and physical components. These processes are vulnerable to malicious cyber-attacks. Attackers can gain access to the network layer and manipulate system measurement data and control input commands to severely compromise system performance. We plan to develop efficient control architectures that foil these malicious sensor and actuator attacks caused by adversarial entities controlling the measurement and actuator devices and recover the system performance. To this end, we invoke adaptive control algorithms and input-to-state stability constraints. We aim at designing modular adaptive control schemes so that they can guarantee input-to-state stability against the actuator and sensor attacks. Moreover, we plan to incorporate the run time faults in the actuators and sensors by efficient design of control algorithms. Motivated by modern mathematical methods enabled by the unprecedented availability of data and computational resources, we are also interested in data-driven approaches.
 

• To devise a new methodology for adaptive control ensuring input-to-state stability against the sensor and actuator attacks in cyber-physical scenarios.
• To explore the possibility of extending the results to multi-agent and networked systems.
• To investigate data-driven approaches for adaptive control ensuring resilience for complex systems that are not amenable to empirical models or derivations based on first-principles.
   

Decentralized adaptive stabilization of infinite networks of switched nonlinear systems with unknown control directions
61st IEEE Conference on Decision and Control (CDC), Dec 2022
S. Pavlichkov and N.Bajcinca

Resilient scheduler and controller codesign for mixed-critical embedded control systems
IFAC World Congress, 2023
M. A. Khatib and N. Bajcinca

Adaptive Control
Resilience
Cyber-phyiscal Systems
Actuator Attacks
Sensor Attacks
Input-to-State Stability

Prof. Naim Bajcinca
Gottlieb-Daimler-Str. 42
67663, Kaiserslautern
Phone: +49 (0)631/205-3230
Fax: +49 (0)631/205-4201
naim.bajcinca@mv.uni-kl.de

Federal Ministry of Education and Research

September 2019 - August 2022

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