专利名称：Method and system for the design and
implementation of optimal multivariablemodel predictive controllers for fast-sampling constrained dynamic systems
发明人：Pekar, Jaroslav,Borralli, Francesco,Stewart,
Gregory
申请号：EP09155881.7申请日：20090323公开号：EP2107439A1公开日：20091007
专利附图：
摘要：Methods and systems for the design and implementation of optimal
multivariable MPC controllers for fast-sampling constrained dynamic systems utilizing aprimal-dual feasibility approach and/or a graph approach. The primal-dual feasibilityapproach can compute and store matrices defining constraints of quadratic programmingproblems in an off-line part in order to calculate vectors of Lagrange multipliers and anoptimizer. Then primal-dual feasibility can be checked in an on-line part using theLagrange multipliers and the optimizer can provide a unique optimal solution for theconstrained dynamic system. The graph approach can compute and store the matricesand the vectors, and also prepare and store a structure of directed graph in off-line part.An optimizer for a given parameter vector can be determined in on-line part using thedirected graph, the matrices and the vectors.
申请人：Honeywell International Inc.
地址：101 Columbia Road Morristown, NJ 07962 US
国籍：US
代理机构：Buckley, Guy Julian
更多信息请下载全文后查看
因篇幅问题不能全部显示，请点此查看更多更全内容