๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Discriminating between disturbance and process model mismatch in model predictive control

โœ Scribed by Christopher A. Harrison; S. Joe Qin


Book ID
104027195
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
468 KB
Volume
19
Category
Article
ISSN
0959-1524

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Constrained model predictive control in
โœ Xi-song Chen; Qi Li; Shu-min Fei ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 461 KB

Stable control of grinding process is of great importance for improvements of operation efficiency, the recovery of the valuable minerals, and significant reductions of production costs in concentration plants. Decoupled multi-loop PID controllers are usually carried out to manage to eliminate the e

Model-system parameter mismatch in GPC c
โœ Andrzej W. Ordys ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 608 KB

This paper considers a linear discrete-time system controlled by a GPC regulator. However the parameters and dynamic order of the system assumed for the regulator design differ from the true parameters. Hence there is a model-system parameter mismatch. For this case it is shown how to determine the

Realistic disturbance modeling using Hid
โœ Wee Chin Wong; Jay H. Lee ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 968 KB

Understanding and modeling disturbances play a critical part in designing effective advanced modelbased control solutions. Existing linear, stationary disturbance models are oftentimes limiting in the face of time-varying characteristics typically witnessed in process industries. These include inter