“Sometimes” and “not never” revisited: on branching versus linear time temporal logic
Journal of the ACM (JACM) - The MIT Press scientific computation series
Automatic verification of finite-state concurrent systems using temporal logic specifications
ACM Transactions on Programming Languages and Systems (TOPLAS)
Action versus state based logics for transition systems
Proceedings of the LITP spring school on theoretical computer science on Semantics of systems of concurrent processes
Handbook of theoretical computer science (vol. B)
The temporal logic of reactive and concurrent systems
The temporal logic of reactive and concurrent systems
ACM Transactions on Programming Languages and Systems (TOPLAS)
Formal Analysis of a Space-Craft Controller Using SPIN
IEEE Transactions on Software Engineering
Logic in Computer Science: Modelling and Reasoning about Systems
Logic in Computer Science: Modelling and Reasoning about Systems
An LMI approach to mixed H2/H∞robust fault-tolerant control design with uncertainties
ACC'09 Proceedings of the 2009 conference on American Control Conference
Actuator Fault Tolerant Control Design Based on a Reconfigurable Reference Input
International Journal of Applied Mathematics and Computer Science - Issues in Fault Diagnosis and Fault Tolerant Control
Reconfiguration Analysis Using Generic Component Models
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Systems are built by connecting different components (e.g., sensors, actuators, process components) that are, in turn, organized to achieve system objectives. But, when a system component fails, the system's objectives can no longer be achieved. For many years, numerous studies have proposed efficient fault detection and isolation (FDI) and fault-tolerant control (FTC) algorithms. This paper considers faults that lead to the complete failure of actuators. In this specific case, the system's physical structure changes, and the system model thus becomes incorrect. The potential that the system has to continue to achieve its objectives has to be re-evaluated from a qualitative point of view, before recalculating or modifying the control algorithms. To this end, this paper proposes a self-updating system model to reflect the current system potential, a formulation of system objectives using temporal logic, and a verification method based on model checking to verify whether the objectives can still be achieved by the faulty system. The systems considered are discrete-continuous systems.