Systems: Theory and Practice

1. Front Matter

   Pages I-VII

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2. Abstractly modelling complex systems

   • Charles Rattray

   Pages 1-12

3. Formal Specification

   • Gillian Hill

   Pages 13-32

4. On mathematical systems theory

   • Rudolf F. Albrecht

   Pages 33-86

5. An Introduction to Discrete Event Modeling Formalisms

   • Fernando J. Barros, Bernard P. Zeigler

   Pages 87-105

6. Design of Microsystems: Systems-theoretical Aspects

   • Franz Pichler

   Pages 107-115

7. A formal representation of DSS generator

   • Yasuhiko Takahara, Xiaohong Chen

   Pages 117-134

8. Structure and Functions of Operating Systems

   • Horst D. Wettstein

   Pages 135-168

9. Object-oriented system development — concepts and tools —

   • Wolfgang Kreutzer

   Pages 169-186

10. Model-based software engineering for interactive systems

    • Christian Märtin

    Pages 187-211

11. Modeling fault-tolerant system behavior

    • Mario Dal Cin

    Pages 213-234

12. Applications of artificial neural networks

    • David William Pearson, Gérard Dray

    Pages 235-251

13. The method of equivalence in robotics

    • Krzysztof Tchoń

    Pages 253-268

14. Manufacturing Algebra: a new mathematical tool for discrete-event modelling of manufacturing systems

    • Enrico Canuto, Francesco Donati, Maurizio Vallauri

    Pages 269-312

15. Back Matter

    Pages 313-319

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There is hardly a science that is without the notion of "system". We have systems in mathematics, formal systems in logic, systems in physics, electrical and mechanical engineering, architectural-, operating-, infonnation-, programming systems in computer science, management-and PJoduction systems in industrial applications, economical-, ecological-, biological systems, and many more. In many of these disciplines formal tools for system specification, construction, verification, have been developed as well as mathematical concepts for system modeling and system simulation. Thus it is quite natural to expect that systems theory as an interdisciplinary and well established science offering general concepts and methods for a wide variety of applications is a subject in its own right in academic education. However, as can be seen from the literature and from the curricula of university studies -at least in Central Europe-, it is subordinated and either seen as part of mathematics with the risk that mathematicians, who may not be familiar with applications, define it in their own way, or it is treated separately within each application field focusing on only those aspects which are thought to be needed in the particular application. This often results in uneconomical re-inventing and re-naming of concepts and methods within one field, while the same concepts and methods are already well introduced and practiced in other fields. The fundamentals on general systems theory were developed several decades ago. We note the pioneering work of M. A. Arbib, R. E. Kalman, G. 1. Klir, M. D.

• Konzepte
• Methoden
• Systemtheorie
• complex system
• complex systems
• concepts
• methods
• modeling
• networks
• neural networks
• operating system
• software engineering
• system
• systems theory
• complexity
• data structures

• Informatik, Universität Innsbruck, Innsbruck, Austria

  Rudolf Albrecht

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