In this note, we address a fault-tolerant control scheme for asynchronous sequential machines with permanent faults.
In Spain, an entire nation has learned how not to address a historical fault line that shifted just 70 years ago, setting one half of the country against the other in a murderous furor that paved the way for 30 years of military dictatorship.
We advocate the importance of designing systems to be self-stabilizing and self-organizing, as designers cannot predict and address all fault scenarios and should address unexpected faults in the fastest possible way.
The objective of this paper is to address a data-driven fault detection design for the nonstationary and nonlinear processes.
To address this, we present a fault resilient routing mechanism for irregular 2D meshes resulting from failures.
Simulation studies verify the effectiveness of the new method and demonstrate the performance of the method when applied to address a mechanical structural system fault diagnosis problem.
The aim of the addressed problem is to design a fault estimator, in the presence of randomly occurring nonlinearities and (x, v -dependent noises, such that faults can be estimated through measurement outputs.
This paper addresses the issue of designing a fault accommodating control algorithm which, after a sensor fault occurrence, takes information about the degraded sensor into account and drives the system such that performance recovery is achieved.
In this paper, the detection of faults is addressed from a statistical point of view as a fault detection problem.
Later, Yang and Tang [30] addressed a more efficient fault identification under the comparison model and developed an O(N Δ 3 δ) algorithm with respect to N-node networks, where δ is the minimum node degree.
Furthermore, we address this fault by investigating the security of a recent IoT RFID authentication protocol, named as AKE-MRFID.
