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Modeling of Distributed Parameter Systems: Overview and Classification

  • Chapter
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems

Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering ((ISCA,volume 50))

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Abstract

This chapter provides a systematic overview of the distributed parameter system (DPS) modeling and its classification. Three different problems in DPS modeling are discussed, which includes model reduction for known DPS, parameter estimation for DPS, and system identification for unknown DPS. All approaches are classified into different categories with their limitations and advantages briefly discussed. This overview motivates us to develop new methods for DPS modeling.

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  1. Han-Xiong Li
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  2. Chenkun Qi
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© 2011 Springer Netherlands

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Li, HX., Qi, C. (2011). Modeling of Distributed Parameter Systems: Overview and Classification. In: Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems. Intelligent Systems, Control and Automation: Science and Engineering, vol 50. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0741-2_2

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  • DOI: https://doi.org/10.1007/978-94-007-0741-2_2

  • Publisher Name: Springer, Dordrecht

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  • Online ISBN: 978-94-007-0741-2

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