Efficient Model Predictive Algorithms for Tracking of Periodic Signals
This paper studies the design of efficient model predictive controllers for fast-sampling linear time-invariant systems subject to input constraints to track a set of periodic references. The problem is decomposed into a steady-state subproblem that determines the optimal asymptotic operating point...
Saved in:
| Main Authors: | Yun-Chung Chu, Michael Z. Q. Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/729748 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Implementation and Realization of GNSS Signals Acquisition and Tracking Algorithm
by: Fuguo Xin, et al.
Published: (2014-03-01) -
Research on High-Dynamic Tracking Algorithms for FH-BOC Signals
by: Xue Li, et al.
Published: (2024-11-01) -
Energy-efficient object tracking algorithm in wireless sensor networks
by: REN Qian-qian1, et al.
Published: (2009-01-01) -
The Effect of Intermittent Signal on the Performance of Code Tracking Loop in GNSS Receivers
by: Chung-Liang Chang
Published: (2011-01-01) -
Multimodal consumer choice prediction using EEG signals and eye tracking
by: Syed Muhammad Usman, et al.
Published: (2025-01-01)