Generalized Norm Optimal Iterative Learning Control with Intermediate Point and Sub-interval Tracking
Norm Optimal Iterative Learning Control (NOILC) has recently been applied to Iterative Learning Control (ILC) problems in which tracking is only required at a subset of isolated time points along the trial duration. This problem addresses the practical needs of many applications, including industria...
Main Authors: | Owens, David H. (Author), Freeman, Christopher (Author), Chu, Bing (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
2015-03-01.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
An Inverse Approach to Intermediate Point Norm Optimal Iterative Learning Control with Auxiliary Optimization
by: Owens, D H, et al.
Published: (2014) -
Norm optimal iterative learning control with intermediate point weighting: theory, algorithms and experimental evaluation
by: Owens, D.H, et al.
Published: (2013) -
Multivariable norm optimal iterative learning control with auxiliary optimization
by: Owens, D.H, et al.
Published: (2013) -
Iterative Learning Control with Mixed Constraints for Point-to-Point Tracking
by: Freeman, Christopher, et al.
Published: (2012) -
Iterative learning control for multiple point-to-point tracking application
by: Freeman, Christopher, et al.
Published: (2011)