Model selection via worst-case criterion for nonlinear bounded-error estimation

被引：0

作者：

Brahim-Belhouari, S ^{[1
]}

Kieffer, M ^{[1
]}

Fleury, G ^{[1
]}

Jaulin, L ^{[1
]}

Walter, É ^{[1
]}

机构：

[1] Ecole Super Elect, Serv Mesures, F-91192 Gif Sur Yvette, France

来源：

IMTC/99: PROCEEDINGS OF THE 16TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS. 1-3 | 1999年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper the problem of model selection for measurement purpose is studied. A new selection procedure in a deterministic framework is proposed. The problem of nonlinear bounded-error estimation is viewed as a set inversion procedure. As each candidate model structure leads to a specific set of admissible values of the measurement vector the worst-case criterion is used to select the optimal model. The selection procedure is applied to a real measurement problem, grooves dimensioning using Remote Field Eddy Current (RFEC) inspection.

引用

页码：1075 / 1080

页数：6

共 50 条

[21] RAPPROCHEMENT BETWEEN BOUNDED-ERROR AND STOCHASTIC ESTIMATION THEORY
NINNESS, BM
GOODWIN, GC
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 1995, 9 (01) : 107 - 132
[22] Interval constraint propagation with application to bounded-error estimation
Jaulin, L
AUTOMATICA, 2000, 36 (10) : 1547 - 1552
[23] MODEL PARAMETER AND MODELING ERROR IDENTIFICATION IN NONLINEAR CONCEPTUAL MODELS FROM BOUNDED-ERROR DATA
KEESMAN, KJ
ENVIRONMETRICS, 1995, 6 (05) : 445 - 449
[24] Worst-case formulations of model predictive control for systems with bounded parameters
Lee, JH
Yu, ZH
AUTOMATICA, 1997, 33 (05) : 763 - 781
[25] Fault detection and identification via bounded-error parameter estimation using distribution theory
Verdiere, Nathalie
Jauberthie, Carine
2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019), 2019, : 2058 - 2060
[26] Worst-case criterion for content-based error-resilient video coding
Chen, WHJ
Hwang, JN
Hsiao, HF
2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS, 2000, : 356 - 359
[27] Worst-Case Discriminative Feature Selection
Liao, Shuangli
Gao, Quanxue
Nie, Feiping
Liu, Yang
Zhang, Xiangdong
PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2019, : 2973 - 2979
[28] Localization of partially hidden targets using a fleet of UAVs via robust bounded-error estimation
Ibenthal, Julius
Meyer, Luc
Piet-Lahanier, Helene
Kieffer, Michel
2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 1224 - 1231
[29] Robust tracking error portfolio selection with worst-case downside risk measures
Ling, Aifan
Sun, Jie
Yang, Xiaoguang
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2014, 39 : 178 - 207
[30] Prefix-based Bounded-error Estimation with Intermittent Observations
Rutledge, Kwesi J.
Yong, Sze Zheng
Ozay, Necmiye
2019 AMERICAN CONTROL CONFERENCE (ACC), 2019, : 4320 - 4325

← 1 2 3 4 5 →