Visible to the public Quantitative Resilience of Linear Systems

TitleQuantitative Resilience of Linear Systems
Publication TypeConference Paper
Year of Publication2022
AuthorsBouvier, Jean-Baptiste, Ornik, Melkior
Conference Name2022 European Control Conference (ECC)
Keywordsactuators, control systems, control theory, Europe, Human Behavior, human factors, Linear systems, pubcrawl, Real-time Systems, resilience, Resiliency, Scalability, sufficient conditions, Temperature control
AbstractActuator malfunctions may have disastrous con-sequences for systems not designed to mitigate them. We focus on the loss of control authority over actuators, where some actuators are uncontrolled but remain fully capable. To counter-act the undesirable outputs of these malfunctioning actuators, we use real-time measurements and redundant actuators. In this setting, a system that can still reach its target is deemed resilient. To quantify the resilience of a system, we compare the shortest time for the undamaged system to reach the target with the worst-case shortest time for the malfunctioning system to reach the same target, i.e., when the malfunction makes that time the longest. Contrary to prior work on driftless linear systems, the absence of analytical expression for time-optimal controls of general linear systems prevents an exact calculation of quantitative resilience. Instead, relying on Lyapunov theory we derive analytical bounds on the nominal and malfunctioning reach times in order to bound quantitative resilience. We illustrate our work on a temperature control system.
DOI10.23919/ECC55457.2022.9838147
Citation Keybouvier_quantitative_2022