Experimental verification of the stability analysis of Learning Feed-Forward Control

Wubbe J.R. Velthuis; Theo J.A. de Vries; Erik Gaal

doi:10.1109/CDC.1998.758443

Experimental verification of the stability analysis of Learning Feed-Forward Control

Wubbe J.R. Velthuis, Theo J.A. de Vries, Erik Gaal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

46 Downloads (Pure)

Abstract

In this paper the learning feedforward control (LFFC) scheme is considered. This type of controller is used for processes that repeatedly perform a specific task. LFFC compensates both for reproducible disturbances that depend on the state of the process, and for remaining random disturbances. The random disturbances are compensated by a feedback controller. The reproducible disturbances are compensated by a learning component consisting of a B-spline neural network that is operated in feedforward. In previous research, the stability properties LFFC were analyzed. From this analysis, quantitative criteria were obtained for selection of the support of the B-splines, and of the learning rate, for which the system is guaranteed to be stable. In this research the validity of the criteria is verified by means of experiments on a linear motor motion system

Original language	English
Title of host publication	Proceedings of the 37th IEEE Conference on Decision and Control
Subtitle of host publication	December 16-18, 1998, Hyatt Regency Westshore, Tampa, Florida
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1225-1229
Number of pages	5
Volume	2
ISBN (Print)	0-7803-4394-8/9
DOIs	https://doi.org/10.1109/CDC.1998.758443
Publication status	Published - 15 Dec 1998
Event	37th IEEE Conference on Decision and Control, CDC 1998 - Hyatt Regency Westshore, Tampa, United States Duration: 16 Dec 1998 → 18 Dec 1998 Conference number: 37

Publication series

Name	Proceedings IEEE Conference on Decision and Control (CDC)
Publisher	IEEE
ISSN (Print)	0191-2216

Conference

Conference	37th IEEE Conference on Decision and Control, CDC 1998
Abbreviated title	CDC
Country/Territory	United States
City	Tampa
Period	16/12/98 → 18/12/98

Access to Document

10.1109/CDC.1998.758443

Cite this

Velthuis, W. J. R., de Vries, T. J. A., & Gaal, E. (1998). Experimental verification of the stability analysis of Learning Feed-Forward Control. In Proceedings of the 37th IEEE Conference on Decision and Control: December 16-18, 1998, Hyatt Regency Westshore, Tampa, Florida (Vol. 2, pp. 1225-1229). (Proceedings IEEE Conference on Decision and Control (CDC)). IEEE. https://doi.org/10.1109/CDC.1998.758443

Velthuis, Wubbe J.R. ; de Vries, Theo J.A. ; Gaal, Erik. / Experimental verification of the stability analysis of Learning Feed-Forward Control. Proceedings of the 37th IEEE Conference on Decision and Control: December 16-18, 1998, Hyatt Regency Westshore, Tampa, Florida. Vol. 2 Piscataway, NJ : IEEE, 1998. pp. 1225-1229 (Proceedings IEEE Conference on Decision and Control (CDC)).

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title = "Experimental verification of the stability analysis of Learning Feed-Forward Control",

abstract = "In this paper the learning feedforward control (LFFC) scheme is considered. This type of controller is used for processes that repeatedly perform a specific task. LFFC compensates both for reproducible disturbances that depend on the state of the process, and for remaining random disturbances. The random disturbances are compensated by a feedback controller. The reproducible disturbances are compensated by a learning component consisting of a B-spline neural network that is operated in feedforward. In previous research, the stability properties LFFC were analyzed. From this analysis, quantitative criteria were obtained for selection of the support of the B-splines, and of the learning rate, for which the system is guaranteed to be stable. In this research the validity of the criteria is verified by means of experiments on a linear motor motion system",

author = "Velthuis, \{Wubbe J.R.\} and \{de Vries\}, \{Theo J.A.\} and Erik Gaal",

year = "1998",

month = dec,

day = "15",

doi = "10.1109/CDC.1998.758443",

language = "English",

isbn = "0-7803-4394-8/9",

volume = "2",

series = "Proceedings IEEE Conference on Decision and Control (CDC)",

publisher = "IEEE",

pages = "1225--1229",

booktitle = "Proceedings of the 37th IEEE Conference on Decision and Control",

address = "United States",

note = "37th IEEE Conference on Decision and Control, CDC 1998, CDC ; Conference date: 16-12-1998 Through 18-12-1998",

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Velthuis, WJR, de Vries, TJA & Gaal, E 1998, Experimental verification of the stability analysis of Learning Feed-Forward Control. in Proceedings of the 37th IEEE Conference on Decision and Control: December 16-18, 1998, Hyatt Regency Westshore, Tampa, Florida. vol. 2, Proceedings IEEE Conference on Decision and Control (CDC), IEEE, Piscataway, NJ, pp. 1225-1229, 37th IEEE Conference on Decision and Control, CDC 1998, Tampa, Florida, United States, 16/12/98. https://doi.org/10.1109/CDC.1998.758443

Experimental verification of the stability analysis of Learning Feed-Forward Control. / Velthuis, Wubbe J.R.; de Vries, Theo J.A.; Gaal, Erik.
Proceedings of the 37th IEEE Conference on Decision and Control: December 16-18, 1998, Hyatt Regency Westshore, Tampa, Florida. Vol. 2 Piscataway, NJ: IEEE, 1998. p. 1225-1229 (Proceedings IEEE Conference on Decision and Control (CDC)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Experimental verification of the stability analysis of Learning Feed-Forward Control

AU - Velthuis, Wubbe J.R.

AU - de Vries, Theo J.A.

AU - Gaal, Erik

N1 - Conference code: 37

PY - 1998/12/15

Y1 - 1998/12/15

N2 - In this paper the learning feedforward control (LFFC) scheme is considered. This type of controller is used for processes that repeatedly perform a specific task. LFFC compensates both for reproducible disturbances that depend on the state of the process, and for remaining random disturbances. The random disturbances are compensated by a feedback controller. The reproducible disturbances are compensated by a learning component consisting of a B-spline neural network that is operated in feedforward. In previous research, the stability properties LFFC were analyzed. From this analysis, quantitative criteria were obtained for selection of the support of the B-splines, and of the learning rate, for which the system is guaranteed to be stable. In this research the validity of the criteria is verified by means of experiments on a linear motor motion system

AB - In this paper the learning feedforward control (LFFC) scheme is considered. This type of controller is used for processes that repeatedly perform a specific task. LFFC compensates both for reproducible disturbances that depend on the state of the process, and for remaining random disturbances. The random disturbances are compensated by a feedback controller. The reproducible disturbances are compensated by a learning component consisting of a B-spline neural network that is operated in feedforward. In previous research, the stability properties LFFC were analyzed. From this analysis, quantitative criteria were obtained for selection of the support of the B-splines, and of the learning rate, for which the system is guaranteed to be stable. In this research the validity of the criteria is verified by means of experiments on a linear motor motion system

U2 - 10.1109/CDC.1998.758443

DO - 10.1109/CDC.1998.758443

M3 - Conference contribution

SN - 0-7803-4394-8/9

VL - 2

T3 - Proceedings IEEE Conference on Decision and Control (CDC)

SP - 1225

EP - 1229

BT - Proceedings of the 37th IEEE Conference on Decision and Control

PB - IEEE

CY - Piscataway, NJ

T2 - 37th IEEE Conference on Decision and Control, CDC 1998

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Velthuis WJR, de Vries TJA, Gaal E. Experimental verification of the stability analysis of Learning Feed-Forward Control. In Proceedings of the 37th IEEE Conference on Decision and Control: December 16-18, 1998, Hyatt Regency Westshore, Tampa, Florida. Vol. 2. Piscataway, NJ: IEEE. 1998. p. 1225-1229. (Proceedings IEEE Conference on Decision and Control (CDC)). doi: 10.1109/CDC.1998.758443

Experimental verification of the stability analysis of Learning Feed-Forward Control

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