Skip to main content
SpringerLink
Log in

The Analysis of Change Region About Networked Control System Based on the Behavior Profile

  • Conference paper
  • First Online:
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 212))

Abstract

In the analysis of Networked Control System, sometimes there may appear a problem of change, it is a problem that how to find the change regions. Previously mostly on the basis of determined change activities, to analyze direct behavior, to study change region. On the basis of analysis of direct and indirect constraints between behaviors, extending behavioral profiles into comprehensive behavioral profiles, a new method to locate dynamic change transitions is proposed, and on the basis of which analytical methods to determine the smaller change region is given in the paper. The theoretical analysis and specific example show that the method is very effective.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Christian G, Jochen MK, Gregor E (2009) Language-independent change management of process models. Lect Notes Comput Sci. doi:10.1007/978-3-642-37502-6_12

    Article  Google Scholar 

  2. Van de Wouw N, Nesic D, Heemels WPMH (2012) A discrete-time framework for stability analysis of nonlinear networked control systems. Automatica 48:1144–1151

    Article  MathSciNet  MATH  Google Scholar 

  3. Postoyan R, Nesic D (2012) On emulated nonlinear reduced-order observers for networked control systems. Automatica 48:645–652

    Article  MathSciNet  MATH  Google Scholar 

  4. Lopez-Echeverria D, Magana ME (2012) Variable sampling approach to mitigate instability in networked control systems with delays. IEEE Trans Neural Networks Learn Syst 23:119–126

    Article  Google Scholar 

  5. Emeka E, Jia B, Riley D, Weng JN, Wei Y, Xue Y, Koutsoukos X, Sztipanovits J (2012) NCSWT: an integrated modeling and simulation tool for networked control systems. Simul Model Pract Theor 27:90–111

    Article  Google Scholar 

  6. Zeng W, Chow MY (2012) Optimal tradeoff between performance and security in networked control systems based on coevolutionary algorithms. IEEE Trans Industr Electron 59:3016–3025

    Article  Google Scholar 

  7. Guo CX, Huang CJ, Qian Y, Liu JH, Jiang XC (2009) The electro quasi static field simulation and analysis for the insulation defects in XLPE power cables. Int Rev Elect Eng IREE 4:1413–1417

    Google Scholar 

  8. Dam HK, Winikoff M (2011) An agent-oriented approach to change propagation in software maintenance. Auton Agent Multi-Agent Syst 23:384–452

    Article  Google Scholar 

  9. Fei GY, Gao J, Owodunni O, Tang XQ (2011) A method for engineering design change analysis using system modeling and knowledge management techniques. Comput Integr 24:535–551

    Google Scholar 

  10. Eramo R, Malavolta I, Muccini H, Pierantonio A (2012) A model-driven approach to automate the propagation of changes among architecture description languages. Softw Syst Model 11:29–53

    Article  Google Scholar 

  11. Vanhatalo J, Völzer H, Koehler J (2009) The refined process structure tree. Data Knowl Eng 68:793–818

    Article  Google Scholar 

  12. Weber B, Reichert M, Rinderle-Ma S (2008) Change patterns and change support features—enhancing flexibility in process-aware information systems. Data Knowl Eng 66:438–466

    Article  Google Scholar 

  13. Matthias W (2011) Behavioural profiles—a relational approach to behaviour consistency. Institutional Repository of the University of Potsdam.http://opus.kobv.de/ubp/volltexte/2011/5559/URNurn:nbn:de:kobv:517‐opus‐55590(2011)

Download references

Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant No.61272153, No.61170059, No.61170172, No.61100058 and No.60973050, the Natural Science Foundation of Educational Government of Anhui Province of China (KJ2012A073and KJ2011A086), Anhui Provincial Natural Science Foundation (1208085MF105), Anhui Provincial Soft Science Foundation (12020503031), Excellent Talent Project of Anhui Province of China (2009SQRS045), Social Science Project of Anhui Province of China (2009SK156), the youth academic backbone foundation of AUST.

Author information

Authors and Affiliations

  1. School of Management, Anhui University of Science and Technology, Huainan, 232001, China

    Xiangwei Liu

  2. School of Science, Anhui University of Science and Technology, Huainan, 232001, China

    Mimi Wang & Lu Liu

Authors
  1. Xiangwei Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mimi Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lu Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiangwei Liu .

Editor information

Editors and Affiliations

  1. School of Science, Anhui University of Science & Technology, Huainan, China

    Zhixiang Yin

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. Anhui University of Science & Technology, Huainan, China

    Xianwen Fang

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, X., Wang, M., Liu, L. (2013). The Analysis of Change Region About Networked Control System Based on the Behavior Profile. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_142

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37502-6_142

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37501-9

  • Online ISBN: 978-3-642-37502-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation