Please use this identifier to cite or link to this item:
|Title:||A multiple model approach to nonlinear internal model control design|
|Keywords:||Global multiple model|
Internal model control
Model validity function
Structured singular value
|Citation:||Cui, S., Chiu, M.-S. (1999-06-01). A multiple model approach to nonlinear internal model control design. Computers and Chemical Engineering 23 (SUPPL. 1) : S253-S256. ScholarBank@NUS Repository. https://doi.org/10.1016/S0098-1354(99)80062-3|
|Abstract:||A nonlinear internal model control (NIMC) design using multiple model is proposed. In this design approach, the process model is described via validity functions as the weighted sum of a set of local models. Subsequently, an approximate inverse of the process model is constructed in order to design NIMC controller. It is shown that the validity functions can be treated as time-varying uncertainties in the resultant NIMC structure, and a structured singular value test for mixed time-varying and time-invariant perturbations is used to assess the performance limitation of the proposed NIMC design. Simulation results of a continuous stirred tank reactor illustrate that the proposed NIMC design method is superior to the conventional IMC design. © 1999 Elsevier Science Ltd.|
|Source Title:||Computers and Chemical Engineering|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.