A novel summation inequality for stability analysis of discrete-time neural networks
In this paper, based on the discrete Wirtinger inequality, a novel summation inequality is established which extends the Jensen inequality. By the technique of the novel inequality, a sufficient criterion on asymptotic stability of discrete neural networks with time-varying delays is obtained. A num...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Liu, Xin-Ge [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Dielectric relaxation and microwave dielectric properties of low temperature sintering LiMnPO4 ceramics - Hu, Xing ELSEVIER, 2015transfer abstract, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:304 ; year:2016 ; day:1 ; month:10 ; pages:160-171 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.cam.2016.03.006 |
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| 520 | |a In this paper, based on the discrete Wirtinger inequality, a novel summation inequality is established which extends the Jensen inequality. By the technique of the novel inequality, a sufficient criterion on asymptotic stability of discrete neural networks with time-varying delays is obtained. A numerical example is given to demonstrate the effectiveness of the inequality. | ||
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10.1016/j.cam.2016.03.006 doi GBVA2016012000012.pica (DE-627)ELV024514934 (ELSEVIER)S0377-0427(16)30119-4 DE-627 ger DE-627 rakwb eng 510 510 DE-600 670 VZ 540 VZ 630 VZ Liu, Xin-Ge verfasserin aut A novel summation inequality for stability analysis of discrete-time neural networks 2016 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, based on the discrete Wirtinger inequality, a novel summation inequality is established which extends the Jensen inequality. By the technique of the novel inequality, a sufficient criterion on asymptotic stability of discrete neural networks with time-varying delays is obtained. A numerical example is given to demonstrate the effectiveness of the inequality. Stability Elsevier Discrete Wirtinger inequality Elsevier Neural networks Elsevier Summation inequality Elsevier Wang, Feng-Xian oth Shu, Yan-Jun oth Enthalten in North-Holland Hu, Xing ELSEVIER Dielectric relaxation and microwave dielectric properties of low temperature sintering LiMnPO4 ceramics 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV013217658 volume:304 year:2016 day:1 month:10 pages:160-171 extent:12 https://doi.org/10.1016/j.cam.2016.03.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 304 2016 1 1001 160-171 12 045F 510 |
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10.1016/j.cam.2016.03.006 doi GBVA2016012000012.pica (DE-627)ELV024514934 (ELSEVIER)S0377-0427(16)30119-4 DE-627 ger DE-627 rakwb eng 510 510 DE-600 670 VZ 540 VZ 630 VZ Liu, Xin-Ge verfasserin aut A novel summation inequality for stability analysis of discrete-time neural networks 2016 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, based on the discrete Wirtinger inequality, a novel summation inequality is established which extends the Jensen inequality. By the technique of the novel inequality, a sufficient criterion on asymptotic stability of discrete neural networks with time-varying delays is obtained. A numerical example is given to demonstrate the effectiveness of the inequality. Stability Elsevier Discrete Wirtinger inequality Elsevier Neural networks Elsevier Summation inequality Elsevier Wang, Feng-Xian oth Shu, Yan-Jun oth Enthalten in North-Holland Hu, Xing ELSEVIER Dielectric relaxation and microwave dielectric properties of low temperature sintering LiMnPO4 ceramics 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV013217658 volume:304 year:2016 day:1 month:10 pages:160-171 extent:12 https://doi.org/10.1016/j.cam.2016.03.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 304 2016 1 1001 160-171 12 045F 510 |
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10.1016/j.cam.2016.03.006 doi GBVA2016012000012.pica (DE-627)ELV024514934 (ELSEVIER)S0377-0427(16)30119-4 DE-627 ger DE-627 rakwb eng 510 510 DE-600 670 VZ 540 VZ 630 VZ Liu, Xin-Ge verfasserin aut A novel summation inequality for stability analysis of discrete-time neural networks 2016 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, based on the discrete Wirtinger inequality, a novel summation inequality is established which extends the Jensen inequality. By the technique of the novel inequality, a sufficient criterion on asymptotic stability of discrete neural networks with time-varying delays is obtained. A numerical example is given to demonstrate the effectiveness of the inequality. Stability Elsevier Discrete Wirtinger inequality Elsevier Neural networks Elsevier Summation inequality Elsevier Wang, Feng-Xian oth Shu, Yan-Jun oth Enthalten in North-Holland Hu, Xing ELSEVIER Dielectric relaxation and microwave dielectric properties of low temperature sintering LiMnPO4 ceramics 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV013217658 volume:304 year:2016 day:1 month:10 pages:160-171 extent:12 https://doi.org/10.1016/j.cam.2016.03.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 304 2016 1 1001 160-171 12 045F 510 |
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In this paper, based on the discrete Wirtinger inequality, a novel summation inequality is established which extends the Jensen inequality. By the technique of the novel inequality, a sufficient criterion on asymptotic stability of discrete neural networks with time-varying delays is obtained. A numerical example is given to demonstrate the effectiveness of the inequality. |
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In this paper, based on the discrete Wirtinger inequality, a novel summation inequality is established which extends the Jensen inequality. By the technique of the novel inequality, a sufficient criterion on asymptotic stability of discrete neural networks with time-varying delays is obtained. A numerical example is given to demonstrate the effectiveness of the inequality. |
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In this paper, based on the discrete Wirtinger inequality, a novel summation inequality is established which extends the Jensen inequality. By the technique of the novel inequality, a sufficient criterion on asymptotic stability of discrete neural networks with time-varying delays is obtained. A numerical example is given to demonstrate the effectiveness of the inequality. |
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