Iterative learning control for optimal multiple-point tracking

Tong Duy Son, Dinh Hoa Nguyen, Hyo Sung Ahn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper presents a new optimization-based iterative learning control (ILC) framework for multiple-point tracking control. Conventionally, one demand prior to designing ILC algorithms for such problems is to build a reference trajectory that passes through all given points at given times. In this paper, we produce output curves that pass close to the desired points without considering the reference trajectory. Here, the control signals are generated by solving an optimal ILC problem with respect to the points. As such, the whole process becomes simpler; key advantages include significantly decreasing the computational cost and improving performance. Our work is then examined in both continuous and discrete systems.

Original languageEnglish
Title of host publication2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Pages6025-6030
Number of pages6
DOIs
Publication statusPublished - Dec 1 2011
Externally publishedYes
Event2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, United States
Duration: Dec 12 2011Dec 15 2011

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
CountryUnited States
CityOrlando, FL
Period12/12/1112/15/11

Fingerprint

Iterative Learning Control
Trajectories
Trajectory
Signal Control
Continuous System
Tracking Control
Discrete Systems
Control Algorithm
Computational Cost
Learning Algorithm
Control Problem
Curve
Optimization
Output
Costs

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Cite this

Son, T. D., Nguyen, D. H., & Ahn, H. S. (2011). Iterative learning control for optimal multiple-point tracking. In 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 (pp. 6025-6030). [6160494] (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2011.6160494

Iterative learning control for optimal multiple-point tracking. / Son, Tong Duy; Nguyen, Dinh Hoa; Ahn, Hyo Sung.

2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011. 2011. p. 6025-6030 6160494 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Son, TD, Nguyen, DH & Ahn, HS 2011, Iterative learning control for optimal multiple-point tracking. in 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011., 6160494, Proceedings of the IEEE Conference on Decision and Control, pp. 6025-6030, 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011, Orlando, FL, United States, 12/12/11. https://doi.org/10.1109/CDC.2011.6160494
Son TD, Nguyen DH, Ahn HS. Iterative learning control for optimal multiple-point tracking. In 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011. 2011. p. 6025-6030. 6160494. (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2011.6160494
Son, Tong Duy ; Nguyen, Dinh Hoa ; Ahn, Hyo Sung. / Iterative learning control for optimal multiple-point tracking. 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011. 2011. pp. 6025-6030 (Proceedings of the IEEE Conference on Decision and Control).
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