Input-output data fitting methods are often used for unknown-structure nonlinear system modeling. Based on model-on-demand tactics, a multiple model approach to modeling for nonlinear systems is presented. The basic i...Input-output data fitting methods are often used for unknown-structure nonlinear system modeling. Based on model-on-demand tactics, a multiple model approach to modeling for nonlinear systems is presented. The basic idea is to find out, from vast historical system input-output data sets, some data sets matching with the current working point, then to develop a local model using Local Polynomial Fitting (LPF) algorithm. With the change of working points, multiple local models are built, which realize the exact modeling for the global system. By comparing to other methods, the simulation results show good performance for its simple, effective and reliable estimation.展开更多
In this paper,a new multimedia data model,namely object-relation hypermedia data model(O-RHDM)which is an advanced and effective multimedia data model is proposed and designed based on the extension and integration of...In this paper,a new multimedia data model,namely object-relation hypermedia data model(O-RHDM)which is an advanced and effective multimedia data model is proposed and designed based on the extension and integration of non first normal form(NF2)multimedia data model.Its principle,mathematical description,algebra operation,organization method and store model are also discussed.And its specific application example,in the multimedia spatial data management is given combining with the Hainan multimedia touring information system.展开更多
基金This project was supported by National Natural Science Foundation (No. 69934020).
文摘Input-output data fitting methods are often used for unknown-structure nonlinear system modeling. Based on model-on-demand tactics, a multiple model approach to modeling for nonlinear systems is presented. The basic idea is to find out, from vast historical system input-output data sets, some data sets matching with the current working point, then to develop a local model using Local Polynomial Fitting (LPF) algorithm. With the change of working points, multiple local models are built, which realize the exact modeling for the global system. By comparing to other methods, the simulation results show good performance for its simple, effective and reliable estimation.
文摘In this paper,a new multimedia data model,namely object-relation hypermedia data model(O-RHDM)which is an advanced and effective multimedia data model is proposed and designed based on the extension and integration of non first normal form(NF2)multimedia data model.Its principle,mathematical description,algebra operation,organization method and store model are also discussed.And its specific application example,in the multimedia spatial data management is given combining with the Hainan multimedia touring information system.
