Paper Info
Title
An autonomic control system for high-reliable CPS
Abstract
Cyber-physical systems (CPS) are composed of collaborating computational elements that control physical entities. The human desire to acquire useful information and to automatically control devices anytime and anywhere has increased the necessity to develop systems with high reliability. However, the CPS associated with the physical world and cyber world involve managing complexity and incurring the respective maintenance costs, such that it has been impossible to produce systems that are completely reliable. Thus, this paper presents an `Autonomic Control System for High-reliable Cyber-Physical Systems' that is comprised of eight processes, including fault analysis, fault event analysis, fault modeling, fault state interpretation, fault strategy decision, fault detection, diagnosis & reasoning, and maneuver execution. These processes facilitate the design and implementation of an autonomic control system that is superior to what was available before. As proof of the approach, we used an intelligent service robot (ISR) as a case study. The experimental results show that the ISR is able to detect a fault event during autonomic control of the CPS.
Year
DOI
Venue
2015
10.1007/s10586-014-0414-8
Cluster Computing
Keywords
Field
DocType
Service robot,Autonomic control system,Intelligent system,Adaptation
Fault analysis,Computer science,Fault modeling,Fault detection and isolation,Real-time computing,Control system,Event analysis,Complexity management,Autonomic control,Service robot,Embedded system,Distributed computing
Journal
Volume
Issue
ISSN
18
2
1386-7857
Citations 
PageRank 
References 
5
0.39
13
Authors
4
Name
Order
Citations
PageRank
Jeongmin Park150.73
Seunghwa Lee250.73
Tae Bok Yoon38013.13
Jin Myoung Kim4234.85