Abstract
This paper provides an overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A brief history of industrial MPC technology is presented first, followed by results of our vendor survey of MPC control and identification technology. A general MPC control algorithm is presented, and approaches taken by each vendor for the different aspects of the calculation are described. Identification technology is reviewed to determine similarities and differences between the various approaches. MPC applications performed by each vendor are summarized by application area. The final section presents a vision of the next generation of MPC technology, with an emphasis on potential business and research opportunities.
| Original language | English |
|---|---|
| Pages (from-to) | 733-764 |
| Number of pages | 32 |
| Journal | Control Engineering Practice |
| Volume | 11 |
| Issue number | 7 |
| Early online date | 2 Dec 2002 |
| DOIs | |
| Publication status | Published - Jul 2003 |
| Externally published | Yes |
Funding
sThe authors wish to thank the vendor representatives who responded to our MPC survey for their time and effort. We also wish to thank the following people for their constructive criticism of this paper: Pierre Carrette, Jim Downs, Harry Forbes, Brian Froisy, Pierre Grosdidier, John Guiver, Rob Hawkins, Dean Kassmann, Geoff Lewis, Joseph Lu, Greg Martin, Steve Piche, Jim Rawlings, Jaques Richalet, Andy Speziale, Douglas White, Robert Young, and Hong Zhao.