Nothing Special   »   [go: up one dir, main page]

Skip to main content

Combining real-time with knowledge processing techniques

  • Knowledge-Based Systems II
  • Conference paper
  • First Online:
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 604))

Abstract

Real-time systems make high demands on the programming style such as timeliness and predictability. The architecture which is presented in this paper uses explicitly given knowledge to meet the requirements of next generation real-time systems. For this purpose a multi-stage architecture for real-time knowledge processing systems was developed. It is based on a simple knowledge model. This can be implemented very efficiently by using the ARON-technique (Alternatives Regularly Organized and Numbered), which is easy to use even by non-programmers. Starting with this elementary system, more complex applications can be handled by decomposing the solution of a problem into interacting subsystems, each working with the ARON-technique. Applicability is demonstrated by two examples of knowledge based process control, e.g. real-time control of an A.C. motor.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brockmann, W.: Real-Time Architecture for Knowledge Processing Systems. Euromicro '91 Workshop on Real-Time Systems; IEEE Computer Society Press, Los Alamitos, 1991, 52–60

    Google Scholar 

  2. Czogala, E., Rawlik, T.: Modelling of a Fuzzy Controller with Application to the Control of Biological Processes. Fuzzy Sets and Systems 31(1989), 13–22

    Article  Google Scholar 

  3. Koymans, R., Kuiper, R.: Paradigms for Real-Time Systems, in: Joseph, M. (Ed.): Formal Techniques in Real-Time and Fault-Tolerant Systems. Proc. Symp., Warwick, 1988

    Google Scholar 

  4. Leinweber, D.: Expert Systems in Space. IEEE Expert, 1987, 26–36

    Google Scholar 

  5. Moore, R.L., Hawkinson, L.B. and others: A Real-Time Expert System for Process Control. IEEE 1984, 569–576

    Google Scholar 

  6. Stankovic, J.A., Ramamritham, K.: Hard Real-Time Systems. IEEE Comp.Soc.Press, Washington, 1988

    Google Scholar 

  7. Wright, M.L., Green, M.W. and others: An Expert System for Real-Time Control. IEEE Software 3(2), 1986, 16–24

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Fevzi Belli Franz Josef Radermacher

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Brockmann, W. (1992). Combining real-time with knowledge processing techniques. In: Belli, F., Radermacher, F.J. (eds) Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. IEA/AIE 1992. Lecture Notes in Computer Science, vol 604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0025014

Download citation

  • DOI: https://doi.org/10.1007/BFb0025014

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55601-5

  • Online ISBN: 978-3-540-47251-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics