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International Symposium on Positive Systems

POSTA 2018: Positive Systems pp 299–308Cite as

Oscillation Analysis of Abscisic Acid Signal Transduction Network: A Semi-tensor Product Approach

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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 480))

Abstract

This paper investigates the abscisic acid (ABA) signal transduction network which is described by Boolean network (BN) based on semi-tensor product (STP). By using this algebraic approach, the oscillation of ABA signal transduction network in the case of the node-disrupted, namely cytosolic PH (\(pH_c\)) perturbation is observed.

This work is supported partly by National Natural Science Foundation (NNSF) 61773090 of China.

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Author information

Authors and Affiliations

  1. The School of Control Science and Engineering, Dalian University of Technology, Dalian, 116024, People’s Republic of China

    Shuqi Chen & Jiyan Zhang

  2. Information Technology Experimental Teaching Center, Dalian University of Technology, Dalian, 116024, People’s Republic of China

    Yuhu Wu

Authors
  1. Shuqi Chen
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  2. Jiyan Zhang
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  3. Yuhu Wu
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Corresponding author

Correspondence to Shuqi Chen .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, University of Hong Kong, Hong Kong, Hong Kong

    James Lam

  2. Hangzhou Dianzi University, Hangzhou, China

    Yun Chen

  3. Southwest Minzu University, Chengdu, China

    Xingwen Liu

  4. Dalian University of Technology, Dalian, China

    Xudong Zhao

  5. Hangzhou Dianzi University, Hangzhou, China

    Junfeng Zhang

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Chen, S., Zhang, J., Wu, Y. (2019). Oscillation Analysis of Abscisic Acid Signal Transduction Network: A Semi-tensor Product Approach. In: Lam, J., Chen, Y., Liu, X., Zhao, X., Zhang, J. (eds) Positive Systems . POSTA 2018. Lecture Notes in Control and Information Sciences, vol 480. Springer, Cham. https://doi.org/10.1007/978-3-030-04327-8_24

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