Aircraft navigation based on differentiation–integration observer
In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wang, Xinhua [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Schlagwörter: |
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| Umfang: |
14 |
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| Übergeordnetes Werk: |
Enthalten in: Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience - Baysal, Birol ELSEVIER, 2015, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:68 ; year:2017 ; pages:109-122 ; extent:14 |
| Links: |
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| DOI / URN: |
10.1016/j.ast.2017.05.007 |
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| Katalog-ID: |
ELV025556991 |
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| 520 | |a In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. | ||
| 520 | |a In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. | ||
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10.1016/j.ast.2017.05.007 doi GBV00000000000367.pica (DE-627)ELV025556991 (ELSEVIER)S1270-9638(17)30192-X DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Wang, Xinhua verfasserin aut Aircraft navigation based on differentiation–integration observer 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. Quadrotor aircraft Elsevier Multiple integrals Elsevier Differentiation–integration observer Elsevier Derivatives Elsevier Cai, Lilong oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:68 year:2017 pages:109-122 extent:14 https://doi.org/10.1016/j.ast.2017.05.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 68 2017 109-122 14 |
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10.1016/j.ast.2017.05.007 doi GBV00000000000367.pica (DE-627)ELV025556991 (ELSEVIER)S1270-9638(17)30192-X DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Wang, Xinhua verfasserin aut Aircraft navigation based on differentiation–integration observer 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. Quadrotor aircraft Elsevier Multiple integrals Elsevier Differentiation–integration observer Elsevier Derivatives Elsevier Cai, Lilong oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:68 year:2017 pages:109-122 extent:14 https://doi.org/10.1016/j.ast.2017.05.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 68 2017 109-122 14 |
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10.1016/j.ast.2017.05.007 doi GBV00000000000367.pica (DE-627)ELV025556991 (ELSEVIER)S1270-9638(17)30192-X DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Wang, Xinhua verfasserin aut Aircraft navigation based on differentiation–integration observer 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. Quadrotor aircraft Elsevier Multiple integrals Elsevier Differentiation–integration observer Elsevier Derivatives Elsevier Cai, Lilong oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:68 year:2017 pages:109-122 extent:14 https://doi.org/10.1016/j.ast.2017.05.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 68 2017 109-122 14 |
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10.1016/j.ast.2017.05.007 doi GBV00000000000367.pica (DE-627)ELV025556991 (ELSEVIER)S1270-9638(17)30192-X DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Wang, Xinhua verfasserin aut Aircraft navigation based on differentiation–integration observer 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. Quadrotor aircraft Elsevier Multiple integrals Elsevier Differentiation–integration observer Elsevier Derivatives Elsevier Cai, Lilong oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:68 year:2017 pages:109-122 extent:14 https://doi.org/10.1016/j.ast.2017.05.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 68 2017 109-122 14 |
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10.1016/j.ast.2017.05.007 doi GBV00000000000367.pica (DE-627)ELV025556991 (ELSEVIER)S1270-9638(17)30192-X DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Wang, Xinhua verfasserin aut Aircraft navigation based on differentiation–integration observer 2017transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. Quadrotor aircraft Elsevier Multiple integrals Elsevier Differentiation–integration observer Elsevier Derivatives Elsevier Cai, Lilong oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:68 year:2017 pages:109-122 extent:14 https://doi.org/10.1016/j.ast.2017.05.007 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 68 2017 109-122 14 |
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In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. |
| abstractGer |
In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. |
| abstract_unstemmed |
In this paper, a generalized differentiation–integration observer is presented based on sensors selection. The proposed differentiation–integration observer can estimate the multiple integrals and high-order derivatives of a signal, synchronously. The parameters selection rules are presented for the differentiation–integration observer. The theoretical results are confirmed by the frequency–domain analysis. The effectiveness of the proposed observer is verified through the numerical simulations on a quadrotor aircraft: i) through the differentiation–integration observer, the attitude angle and the uncertainties in attitude dynamics are estimated synchronously from the measurements of angular velocity; ii) a control law is designed based on the observers to drive the aircraft to track a reference trajectory. |
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GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 |
| title_short |
Aircraft navigation based on differentiation–integration observer |
| url |
https://doi.org/10.1016/j.ast.2017.05.007 |
| remote_bool |
true |
| author2 |
Cai, Lilong |
| author2Str |
Cai, Lilong |
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| doi_str |
10.1016/j.ast.2017.05.007 |
| up_date |
2024-07-06T17:51:15.349Z |
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