Abstract
The problem of controlling processes with a wide range of operating conditions is addressed. The process dynamics is represented by the weighted- sum of the linear model by using model validity functions. By treating the validity functions as uncertainties in the system, an internal model control (IMC) design strategy is developed for a particular class of nonlinear systems. Robust stability analysis under mixed time-varying and time- invariant uncertainties is presented. Simulation results confirm that the proposed IMC design method is indeed superior to its conventional counterpart.
Original language | English |
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Pages (from-to) | 309-320 |
Number of pages | 12 |
Journal | AICHE Journal |
Volume | 46 |
Issue number | 2 |
DOIs | |
Publication status | Published - Feb 2000 |
Externally published | Yes |
ASJC Scopus subject areas
- Biotechnology
- Environmental Engineering
- General Chemical Engineering