Application of Taylor transformation to nonlinear predictive control problem

Chieh Li Chen, Sy Hong Lin, Cha'o Kuang Chen

研究成果: Article同行評審

39 引文 斯高帕斯(Scopus)

摘要

A Taylor transformation technique for nonlinear process predictive control is presented. In this approach, a prediction model for nonlinear predictive control (NPC) is introduced, using the Taylor transformation technique, to make the NPC design problem similar to the linear predictive control problem. It is then applied to the continuous stirred tank reactor (CSTR) control problem. The stability of the proposed nonlinear predictive control scheme to the CSTR problem is also studied. The model mismatch can also be made to cope with the proposed scheme. The results are compared with those obtained using nonlinear model predictive control and a fuzzy adaptive controller. The comparison shows that the proposed method leads to feasible results for NPC research.

原文English
頁(從 - 到)699-710
頁數12
期刊Applied Mathematical Modelling
20
發行號9
DOIs
出版狀態Published - 1996 九月

All Science Journal Classification (ASJC) codes

  • 建模與模擬
  • 應用數學

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