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Analysis and Design of Delayed Genetic Regulatory Networks pp 157–181Cite as

State Estimation for Delayed GRNs

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 207))

Abstract

Usually, not all states information (that is, mRNA and protein concentrations) of GRNs are measurable, we have to estimate unmeasured state information by making use of the effective network outputs.

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Authors and Affiliations

  1. School of Mathematical Science, Heilongjiang University, Harbin, China

    Xian Zhang & Yantao Wang

  2. School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang, China

    Ligang Wu

Authors
  1. Xian Zhang
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  2. Yantao Wang
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  3. Ligang Wu
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Correspondence to Xian Zhang .

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Zhang, X., Wang, Y., Wu, L. (2019). State Estimation for Delayed GRNs. In: Analysis and Design of Delayed Genetic Regulatory Networks. Studies in Systems, Decision and Control, vol 207. Springer, Cham. https://doi.org/10.1007/978-3-030-17098-1_7

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  • DOI: https://doi.org/10.1007/978-3-030-17098-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17097-4

  • Online ISBN: 978-3-030-17098-1

  • eBook Packages: EngineeringEngineering (R0)

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