In response to newly found security vulnerabilities, or as part of a moving target defense, a
fast and safe control software update scheme for networked control systems is highly …

Unmanned autonomous vehicles (UAVs) rely on effective path planning and tracking control
to accomplish complex tasks in various domains. Reinforcement Learning (RL) methods are …

Software rejuvenation, which was originally introduced to deal with performance
degradation due to software aging, has recently been proposed as a mechanism to provide …

We consider the inherent attack tolerance properties of resilient model predictive control (R-
MPC) for cyber–physical systems (CPSs) modeled by discrete linear time-invariant (LTI) …

Software-defined vehicle (SDV) systems replace traditional ECU architectures with software
tasks running on centralized multicore processors in automotive-grade PCs. However, PC …

Addressing complex cooperative tasks in safety-critical environments poses significant
challenges for Multi-Agent Systems, especially under conditions of partial observability. This …

Control systems are indispensable for ensuring the safety of cyber-physical systems (CPS),
spanning various domains such as automobiles, airplanes, and missiles. Safeguarding CPS …

In this paper, resilience issues for platoons of autonomous agents are addressed when false
data injections affect the information exchanged among the neighbors via a communication …

Network technology has significantly improved due to the growing use of Cyber-Physical
Systems (CPS) in various industries, including healthcare, transportation, and …