自动化学报2005，Vol.31Issue(3)：470-474,5.
一种基于加权性能指标的多模型辨识算法及其在热工过程中的应用
A Multi-model Identification Algorithm Based on Weighted Cost Function and Application in Thermal Process
摘要
Abstract
Most existing algorithms for identifying multi-model system are based on minimizing the square of bias between global outputs of the actual system and the identified model, but the resultant model lacks of robustness. In order to solve this problem, this paper considers some other algorithms in which local models are identified independently and presents a multi-model identification algorithm based on weighted cost function, which uses the idea of local weighted regression and local approximation while keeps the model structure of global identification algorithm. The result of application to a 300MW unit boiler superheater illustrates that the multi-model generated by the proposed algorithm has better trade-off between global fitting and local interpretation.关键词
Multi-model/identification/nonlinear/local model network/thermal processKey words
Multi-model/identification/nonlinear/local model network/thermal process分类
信息技术与安全科学引用本文复制引用
薛振框,李少远..一种基于加权性能指标的多模型辨识算法及其在热工过程中的应用[J].自动化学报,2005,31(3):470-474,5.基金项目
Supported by National Natural Science Foundation of P. R. China (60474057) and partly by the Key Technologyand Development of Shanghai Science and Technology Department (04DZ11008) and the Specialized ResearchFund for the Doctoral Program of Higher Education of P. R. China (20020248028) （60474057）
