𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Identification for decentralized model predictive control

✍ Scribed by Ravindra D. Gudi; James B. Rawlings


Publisher
American Institute of Chemical Engineers
Year
2006
Tongue
English
Weight
187 KB
Volume
52
Category
Article
ISSN
0001-1541

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Chance-constrained model predictive cont
✍ Alexander T. Schwarm; Michael Nikolaou πŸ“‚ Article πŸ“… 1999 πŸ› American Institute of Chemical Engineers 🌐 English βš– 226 KB πŸ‘ 3 views
Extended robust model predictive control
✍ D. Odloak πŸ“‚ Article πŸ“… 2004 πŸ› American Institute of Chemical Engineers 🌐 English βš– 176 KB πŸ‘ 1 views
Robust model predictive control for unce
✍ Jianping Zou; Yash P. Gupta πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 366 KB πŸ‘ 2 views

The design of robust model predictive control for handling bounded uncertainties in step response of unconstrained MIMO processes is considered. The control law is obtained by minimizing an upper bound of the objective function and it consists of an optimal state feedback gain and a robust state obs

Disturbance models for offset-free model
✍ Gabriele Pannocchia; James B. Rawlings πŸ“‚ Article πŸ“… 2003 πŸ› American Institute of Chemical Engineers 🌐 English βš– 254 KB πŸ‘ 2 views

## Abstract Model predictive control algorithms achieve offset‐free control objectives by adding integrating disturbances to the process model. The purpose of these additional disturbances is to lump the plant‐model mismatch and/or unmodeled disturbances. Its effectiveness has been proven for parti