Abstract
Mathematical modeling based on reaction-diffusion partial differential equations, is a well-known way to study the mechanism of lung branching pattern formation. However, model parameter identification is one of the key problems in the research, which is both labor-intensive and of low efficiency. To work out this problem, a visual feedback control framework is proposed in this paper. The framework based on automatic control theory is built, by means of pattern feature feedback, to identify model parameters. The results suggest that this framework is effective and feasible.
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Acknowledgments
This research is supported by Tianjin Research Program of Application Foundation and Advanced Technology (14JCQNJC04700), National Natural Science Foundation of China (NSFC: 61105107, 61327802, 61273341), the Research Fund for Doctoral Program of Higher Education of China (Grant No. 2011003111032), and the State Key Laboratory of Robotics (2013-O03).
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Xu, H., Sun, M., Han, J., Zhao, X. (2015). A Visual Feedback Control Framework Oriented to Lung Branching Pattern Formation Simulation. In: Deng, Z., Li, H. (eds) Proceedings of the 2015 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46463-2_6
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DOI: https://doi.org/10.1007/978-3-662-46463-2_6
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