The challege of achieving fault tolerance in automated, semi-autonomous, and autonomous systems

With unicast, the metric is used to determine a low-power path between sources and destinations. The source and destination entities could be attached to Autonomous Systems (ASes) or to routing areas within the Autonomous System. Determining a low-power path within an Autonomous System provides a unique challenge as the topology of the constituent areas may not be known. To that end, we propose the use of a selective leak technique for disclosing low-power paths. Additionally, the proposed method can also be used to determine disjoint or redundant paths for load-balancing or fault tolerance. With multicast, the metric serves the twin purpose of finding low-power multicast paths as well as multicast replication points. Once low-power paths in either the unicast or the multicast cases are identified, then currently available traffic engineering techniques could be used to route the data packets.

Download Full-text

Facilitating Autonomous Systems with AI-Based Fault Tolerance and Computational Resource Economy

Electronics ◽

10.3390/electronics9050788 ◽

2020 ◽

Vol 9 (5) ◽

pp. 788 ◽

Cited By ~ 1

Author(s):

Kyriakos Deliparaschos ◽

Konstantinos Michail ◽

Argyrios Zolotas

Keyword(s):

Fault Tolerance ◽

Fault Tolerant ◽

Autonomous Systems ◽

Magnetic Suspension ◽

Sensor Fault ◽

Control Framework ◽

Sensor Fault Detection ◽

Multiple Sensor ◽

Electro Magnetic ◽

Interface Devices

Proposed is the facilitation of fault-tolerant capability in autonomous systems with particular consideration of low computational complexity and system interface devices (sensor/actuator) performance. Traditionally model-based fault-tolerant/detection units for multiple sensor faults in automation require a bank of estimators, normally Kalman-based ones. An AI-based control framework enabling low computational power fault tolerance is presented. Contrary to the bank-of-estimators approach, the proposed framework exhibits a single unit for multiple actuator/sensor fault detection. The efficacy of the proposed scheme is shown via rigorous analysis for several sensor fault scenarios for an electro-magnetic suspension testbed.

Download Full-text

Systems Engineering for Ethical Autonomous Systems

10.1049/sbra517e ◽

2019 ◽

Cited By ~ 1

Author(s):

Tony Gillespie

Keyword(s):

Systems Engineering ◽

Autonomous Systems

Download Full-text

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

Advanced Logistic Systems - Theory and Practice ◽

10.32971/als.2019.006 ◽

2019 ◽

Vol 12 (1) ◽

pp. 77-87

Author(s):

György Kovács ◽

Rabab Benotsmane ◽

László Dudás

Keyword(s):

Industry 4.0 ◽

Intelligent Systems ◽

Autonomous Systems ◽

Essential Element ◽

Industrial Sector ◽

Life Cycles ◽

Multi Agent Systems ◽

New Paradigm ◽

Intelligent Machines ◽

Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

Download Full-text