research-article

NCSWT: an integrated modeling and simulation tool for networked control systems

Authors:

Xenofon Koutsoukos,

Janos SztipanovitsAuthors Info & Claims

HSCC '12: Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control

Pages 287 - 290

https://doi.org/10.1145/2185632.2185675

Published: 17 April 2012 Publication History

Abstract

This paper presents the Networked Control Systems Windtunnel (NCSWT), an integrated modeling and simulation tool for the evaluation of networked control systems (NCS). NCSWT integrates Matlab/Simulink and ns-2 using the High Level Architecture (HLA). Our implementation of the NCSWT based on HLA guarantees accurate time synchronization and data communication in heterogenous simulations. NCSWT uses the Model Integrated Computing (MIC) techniques to define HLA-based model constructs such as federates representing the simulators and interactions between the simulators. NCSWT also uses MIC techniques to define models representing the control system and network dynamics for the rapid synthesis of simulations.

References

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Cited By

Shi JSha M(2020)Parameter Self-Adaptation for Industrial Wireless Sensor-Actuator NetworksACM Transactions on Internet Technology10.1145/338824020:3(1-28)Online publication date: 26-Jun-2020
https://dl.acm.org/doi/10.1145/3388240
Ferracuti FFreddi AMonteriù APrist M(2016)An Integrated Simulation Module for Cyber-Physical Automation SystemsSensors10.3390/s1605064516:5(645)Online publication date: 5-May-2016
https://doi.org/10.3390/s16050645
Minakov IPasserone RRizzardi ASicari S(2016)A Comparative Study of Recent Wireless Sensor Network SimulatorsACM Transactions on Sensor Networks10.1145/290314412:3(1-39)Online publication date: 26-Jul-2016
https://dl.acm.org/doi/10.1145/2903144
Show More Cited By

Index Terms

NCSWT: an integrated modeling and simulation tool for networked control systems
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation support systems
      1. Simulation environments

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Published In

cover image ACM Conferences

HSCC '12: Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control

April 2012

308 pages

ISBN:9781450312202

DOI:10.1145/2185632

Program Chairs:
Thao Dang
CNRS/VERIMAG, France
,
Ian M. Mitchell
University of British Columbia, Canada

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 17 April 2012

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HSCC'12

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SIGBED

HSCC'12: Hybrid Systems: Computation and Control

April 17 - 19, 2012

Beijing, China

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Overall Acceptance Rate 153 of 373 submissions, 41%

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Cited By

Shi JSha M(2020)Parameter Self-Adaptation for Industrial Wireless Sensor-Actuator NetworksACM Transactions on Internet Technology10.1145/338824020:3(1-28)Online publication date: 26-Jun-2020
https://dl.acm.org/doi/10.1145/3388240
Ferracuti FFreddi AMonteriù APrist M(2016)An Integrated Simulation Module for Cyber-Physical Automation SystemsSensors10.3390/s1605064516:5(645)Online publication date: 5-May-2016
https://doi.org/10.3390/s16050645
Minakov IPasserone RRizzardi ASicari S(2016)A Comparative Study of Recent Wireless Sensor Network SimulatorsACM Transactions on Sensor Networks10.1145/290314412:3(1-39)Online publication date: 26-Jul-2016
https://dl.acm.org/doi/10.1145/2903144
Li BNie LWu CGonzalez HLu CBayen ABranicky M(2015)Incorporating emergency alarms in reliable wireless process controlProceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems10.1145/2735960.2735983(218-227)Online publication date: 14-Apr-2015
https://dl.acm.org/doi/10.1145/2735960.2735983
Prist MFreddi ALonghi SMonteriu A(2015)An integrated simulation module for wireless cyber-physical system2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)10.1109/EEEIC.2015.7165374(1397-1402)Online publication date: Jun-2015
https://doi.org/10.1109/EEEIC.2015.7165374
Li BSun ZMechitov KHackmann GLu CDyke SAgha GSpencer BLu CKumar PStoleru R(2013)Realistic case studies of wireless structural controlProceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems10.1145/2502524.2502549(179-188)Online publication date: 8-Apr-2013
https://dl.acm.org/doi/10.1145/2502524.2502549

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