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Dynamical System Algorithm Specification Analysis and Stabilization

  • Charles C. Phiri
  • János Botzheim
  • Cristina Valle
  • Zhaojie JuEmail author
  • Honghai Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10462)

Abstract

This paper investigates approaches to deliberately designing systems whose controllability can be quantified. Preliminary findings of ongoing research are presented on complex dynamical system control algorithms. The specification analysis and quality of the pressure control algorithm applied to a Topical Negative Pressure Wound Therapy device are conducted, with further discussion on self-regulation mechanism and characterization of both the partially observable and partially controllable workspace represented by the negative pressure chamber. Statistical methods are employed to understand the device physics and fuzzy logic and bacterial memetic algorithm are utilised to explore and optimize the existing algorithms and also extract the rule base.

Keywords

Specification analysis Fuzzy inference Bacterial memetic algorithm 

Notes

Acknowledgements

The authors would like to acknowledge support from CC Initiative Ltd., project of NSFC (51575412), DREAM EU FP7-ICT (611391), State Key Laboratory of Digital Manufacturing Equipment & Technonlogy (DMETKF2017003), and the exchange program from School of System Design, Kubota Laboratories, Japan.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Charles C. Phiri
    • 1
    • 2
    • 3
  • János Botzheim
    • 2
    • 3
    • 4
  • Cristina Valle
    • 2
    • 3
  • Zhaojie Ju
    • 1
    • 5
    Email author
  • Honghai Liu
    • 1
  1. 1.School of ComputingUniversity of PortsmouthPortsmouthUK
  2. 2.CC Initiative Ltd.NewburyUK
  3. 3.CC Initiative Ltd.TokyoJapan
  4. 4.Department of AutomationSzéchenyi UniversityGyőrHungary
  5. 5.School of AutomationWuhan University of TechnologyWuhanChina

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