The Optimal Model Reduction Method for Spatially Distributed System Based on Simulated Annealing Algorithm
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.
Spatially-distributed system model reduction simulated annealing local modeling approach
Mengling Wang Hongbo Shi
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
国际会议
西安
英文
2304-2308
2011-12-23（万方平台首次上网日期，不代表论文的发表时间）