• Publications
  • Influence
An Architecture for a Safety-Critical Steer-by-Wire System
A hardware and software architecture suitable for a safety-critical steer-by-wire systems is presented. The architecture supports three major failure modes and features several safety protocols andExpand
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A Flexible Architecture for Highly Dependable Embedded Applications
A new architecture (FlexCAN) and associated protocol (SafeCAN) is sumarized. The new architecture and constituent protocol are based on the CAN protocol and supports embedded safety-criticalExpand
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Learning emergent tasks for an autonomous mobile robot
TLDR
We present an implementation of a reinforcement learning algorithm through the use of a special neural network topology, the AHC (adaptive heuristic critic). Expand
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Design of a Safety-Critical Drive-By-Wire System Using FlexCAN
This paper describes the design of a drive-by-wire system for a commercial lift truck using the FlexCAN communication architecture. FlexCAN is a recently developed architecture based on the CANExpand
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Dependability of distributed control system fault tolerant units
TLDR
We investigate two types of fault tolerant units (FTUs) suitable for dependable distributed control systems and numerically evaluate their reliability and mean time to failure (MTTF). Expand
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Efficient encoding of application layer PDU's for fieldbus networks
TLDR
A new and efficient encoder suitable for encoding application layer PDU's is suggested for fieldbus networks where real time behaviour is a major requirement. Expand
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Communication Networks for Manufacturing
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Safety-reliability of distributed embedded system fault tolerant units
  • J. Pimentel
  • Engineering
  • IECON'03. 29th Annual Conference of the IEEE…
  • 2 November 2003
In this paper we compare the relative performance of two fault tolerant mechanisms dealing with repairable and non-repairable components that have failed. The relative improvement in the reliabilityExpand
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Learning behavioral control by reinforcement for an autonomous mobile robot
We present an implementation of a reinforcement learning algorithm through the use of a special neural network topology, the AHC (adaptive heuristic critic). The AHC constitutes a fusion supervisorExpand
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