摘要
为解决关联矩阵难以估计的问题,提出利用最小方差(MV)基准界评价多变量控制系统性能的方法.建立了另一最小方差基准下界,此新下界可通过过程数据和对角关联矩阵得到.几种建界方法相互结合,形成一套完整的、基于最小方差基准界的多变量控制系统性能评价理论体系.通过仿真实验验证了该评价方法的有效性.
To solve the problem that it is difficult to estimate the interactor matrix, minimum variance （MV） benchmarking bound is proposed to assess multivariable systems＇ performances. Another new MV benchmarking lower bound is established, it can be acquired from the process data and diagonal interactor matrix. Combined with these bound establishing methods, a new integrated MV benchmarking bounds performance assessment theory system of multivariable control system is constituted. Simulation results show the above assessment methods are effective.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2007年第8期689-694,699,共7页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(60274056)
关键词
MV基准界
最小方差控制
关联矩阵
多变量控制系统
MV benchmarking bound
minimum variance control
interactor matrix
multivariable control system
