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.
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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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Phiri, C.C., Botzheim, J., Valle, C., Ju, Z., Liu, H. (2017). Dynamical System Algorithm Specification Analysis and Stabilization. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10462. Springer, Cham. https://doi.org/10.1007/978-3-319-65289-4_53
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DOI: https://doi.org/10.1007/978-3-319-65289-4_53
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