文献类型：期刊文献

英文题名：Neural network based model predictive control of spatially cellular uptake in tissue engineering

作者：Wang, Mengling[1]; Huaicheng, Yan[1]; Shi, Hongbo[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, 130, Meilong Road, Shanghai, 200237, China

年份：2017

起止页码：4610

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20174404320184)

语种：英文

摘要：In this paper, a neural network based model predictive control (MPC) strategy is proposed to for the cellular uptake (as a function of space and time) of a tissue. First, a time/space separation method is used to transform the high-dimensional spatiotemporal data into low-dimensional temporal data. Then, the MPC strategy is posed using the identified temporal radial basis function neural network model. And the solution of NN-based MPC is obtained by a golden section method that can shorten the solution time of the optimization problem. The accuracy and effectiveness of this approach are demonstrated on an example motivated by tissue engineering. ? 2017 Technical Committee on Control Theory, CAA.