Over a decades, although various techniques have been proposed to improve the training of a neural network to against node fault, there is still a lacking of (i) a simple objective function to formalize multiple nodes fault and not much work has been done on understanding of the relation between fault tolerant and generalization. In this paper, an objective function based on the idea of Kullbac...

The theory behind fault tolerant multi-level Monte Carlo (FT-MLMC) methods was recently developed and tested. These tests were made without a real fault tolerant implementation. We implemented an MPI-parallelized fault tolerant MLMC version of an existing parallel MLMC code (ALSVID-UQ). It is based on the User Level Failure Mitigation, a fault tolerant extension of MPI. We confirm our FT-MLMC t...

The seven-qubit quantum error-correcting code originally proposed by Steane is one of the best known quantum codes. The Steane code has a desirable property that most basic operations can be performed easily in a fault-tolerant manner. A major obstacle to fault-tolerant quantum computation with the Steane code is fault-tolerant preparation of encoded states, which requires large computational r...

The paper describes an investigation of fault tolerant control strategies for permanent magnet synchronous motor (PMSM) driven by a fault-tolerant inverter. The inverter is a topology-modified inverter with fault-tolerant capability, which can be configured as the standard 3-phase 6-switch inverter and reconfigured as 3-phase 4-switch or 2-phase 4switch inverter under the fault condition. By an...

The application of robots in critical missions in hazardous environments requires the development of reliable or fault tolerant manipulators. In this paper, we define fault tolerance as the ability to continue the performance of a task after immobilization of a joint due to failure. Initially, no joint limits are considered, in which case we prove the existence of fault tolerant manipulators an...

A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...

In this paper we introduce a new interconnection network Fault Tolerant Hierarchical Interconnection network for parallel Computers denoted by FTH(k, 1).This network has fault tolerant hierarchical structure which overcomes the fault tolerant properties of Extended hypercube(EH).This network has low diameter, constant degree connectivity and low message traffic density in comparisons with other...

We present a peer logging system for reducing performance overhead in fault-tolerant distributed shared memory systems. Our system provides fault-tolerant shared memory using individual checkpointing and rollback. Peer logging logs DSM modification messages to remote nodes instead of to local disks. We present results for implementations of our fault-tolerant technique using simulations of both...

AI-based search techniques have been adapted as viable, topology-independent fault-tolerant routing strategies on multiprocessor networks [P.K.K. Loh, Artificial intelligence search techniques as fault-tolerant routing strategies, Parallel Computing 22 (8) (1996) 1127–1147]. These fault-tolerant routing strategies are viable with the exception that the routes obtained were non-minimal. This mea...