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Optimal Mobile Remote Sensing Policy for Downscaling and Assimilation Problems

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Optimal Mobile Sensing and Actuation Policies in Cyber-physical Systems

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Abstract

In this chapter, the problem of downscaling soil moisture data is addressed. Based on an existing methodology to downscale, we introduce the problem of optimal remote sensor trajectory so as to maximize the coverage of the areas where the downscaling is inaccurate. The problem is formulated as an optimal control one, which allows us to use optimal control solvers. A numerical method to solve the problem is introduced and successfully applied to a numerical example.

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Authors and Affiliations

  1. Cummins Inc., 1900 McKinley Avenue, Columbus, 47201, IN, USA

    Dr. Christophe Tricaud

  2. Department of Electrical and Computer Engineering, CSOIS, Utah State University, Old Main Hill 4160, Logan, 84322-4120, UT, USA

    Dr. YangQuan Chen

Authors
  1. Dr. Christophe Tricaud
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  2. Dr. YangQuan Chen
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Corresponding author

Correspondence to Christophe Tricaud .

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© 2012 Springer-Verlag London Limited

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Tricaud, C., Chen, Y. (2012). Optimal Mobile Remote Sensing Policy for Downscaling and Assimilation Problems. In: Optimal Mobile Sensing and Actuation Policies in Cyber-physical Systems. Springer, London. https://doi.org/10.1007/978-1-4471-2262-3_8

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  • DOI: https://doi.org/10.1007/978-1-4471-2262-3_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2261-6

  • Online ISBN: 978-1-4471-2262-3

  • eBook Packages: EngineeringEngineering (R0)

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