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Modeling of Complex Systems

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Modeling, Control and Optimization of Complex Systems

Part of the book series: The International Series on Discrete Event Dynamic Systems ((DEDS,volume 14))

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Abstract

The role of modeling is becoming increasingly important in design and operation of complex natural and man-made systems. Models are also appearing as components of control systems because of the increased use of model based control strategies such as Kalman filters and model predictive control. Mechanized tools are necessary to fully exploit modeling. The development of modeling is therefore closely associated with the development of computational tools for simulation. There has been a very dynamic development from the beginning in the 1920s. At that time, the technology was available only at a handful of university groups who had access to mechanical differential analyzers. Today modeling and simulation are available at low cost on the desk of everyone who needs it. This paper presents a perspective on modeling of complex systems leading up to the recent development of Modelica, which draws on object oriented methodology in computer science, differential algebraic equations in numerical mathematics and control theory.

This paper is dedicated to Prof. Yu-Chi Ho to celebrate his outstanding contribution and to thank him for many inspiring discussions and a long standing friendship

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Authors and Affiliations

  1. Department of Automatic Control Lund Institute of Technology, Lund University, Lund, Sweden

    K. J. Åström

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  1. K. J. Åström
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Editors and Affiliations

  1. University of Massachusetts, Amherst

    Weibo Gong

  2. University of Wisconsin, Madison

    Leyuan Shi

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Åström, K.J. (2003). Modeling of Complex Systems. In: Gong, W., Shi, L. (eds) Modeling, Control and Optimization of Complex Systems. The International Series on Discrete Event Dynamic Systems, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1139-7_2

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  • DOI: https://doi.org/10.1007/978-1-4615-1139-7_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5411-6

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