Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 1999.11a
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- Pages.732-735
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- 1999
Constrained GA-based Predictive Control
유전자 알고리즘을 이용한 예측제어
- Seung C. Shin (Department of Electronic Engineering Korea Advanced Institute of Science and Technology) ;
- Zeungnam Bien (Department of Electronic Engineering Korea Advanced Institute of Science and Technology)
- Published : 1999.11.01
Abstract
A GA-based optimization technique is adopted in the paper to obtain optimal future control inputs for predictive control systems. For reliable future predictions of a process, we identify the underlying process with an NNARX model structure and investigate to reduce the volume of neural network based on the Lipschitz index and a criterion. Since most industrial processes are subject to their constraints, we deal with the input-output constraints by modifying some genetic operators and/or using a penalty strategy in the GAPC. Some computer simulations are given to show the effectiveness of the GAPC method compared with the adaptive GPC algorithm.
Keywords