Stability Monitoring of Batch Processes with Iterative Learning Control
In recent years, the iterative learning control (ILC) is widely used in batch processes to improve the quality of the products. Stability is a preoccupation of batch processes when the ILC is applied. Focusing on the stability monitoring of batch processes with ILC, a method based on innerwise matri...
Saved in:
| Main Authors: | Yan Wang, Junwei Sun, Taishan Lou, Lexiang Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | Advances in Mathematical Physics |
| Online Access: | http://dx.doi.org/10.1155/2017/5912651 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimal Iterative Learning Fault-Tolerant Guaranteed Cost Control for Batch Processes in the 2D-FM Model
by: Limin Wang, et al.
Published: (2012-01-01) -
SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption
by: Chong Wang, et al.
Published: (2025-01-01) -
The Strong Stability of Optimal Nonlinear Dynamical System in Batch Fermentation
by: Hongli Wang, et al.
Published: (2022-01-01) -
Multiphase time-varying batch process monitoring based on stage moving model migration
by: Luping Zhao, et al.
Published: (2025-05-01) -
On the Convergence and Stability Results for a New General Iterative Process
by: Kadri Doğan, et al.
Published: (2014-01-01)