文献类型：期刊文献

英文题名：The optimal model reduction method for spatially distributed system based on simulated annealing algorithm

作者：Wang, Mengling[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：2012

起止页码：56

外文期刊名：Proceedings - 2012 International Conference on Computer Science and Information Processing, CSIP 2012

收录：EI(收录号：20124615663762)

语种：英文

外文关键词：Spatial distribution - Iterative methods

摘要：For partial differential equation description unknown spatially distributed systems, the number of local models determines the dimension of the model. So far, there is no mature method about how to obtain the optimal region division. Usually, the local region division is related with the location of sensors. It may affect the accuracy and computational complexityH of the modeling directly. This paper presents an optimal model reduction approach for spatially distributed systems based on simulated annealing algorithm. At first, the optimality criterion is presented. And then, the simulated annealing based iterative optimizing method is proposed to solve the optimal model reduction. The simulations demonstrated show the accuracy and efficiency of the proposed methodologies. ? 2012 IEEE.