Department of Chemical and Biological Engineering2024-11-1020030967-066110.1016/S0967-0661(02)00207-12-s2.0-0041765734http://dx.doi.org/10.1016/S0967-0661(02)00207-1https://hdl.handle.net/20.500.14288/15884A new approach to defining a dynamic RGA (DRGA) is presented. The approach assumes the availability of a dynamic process model which is used to design a proportional output optimal controller. The new DRGA is defined based on the resulting controller gain matrix. Two examples in which the traditional RGA gives the wrong pairings and an inaccurate indication of the amount of interaction present are discussed. One example involves transfer function models and the other an industrial recycle/reactor system. In both cases the new DRGA indicates the best pairings to use and it accurately assesses the extent of interaction present.Automation control systemJournal Article1873-6939183739200008Q211094