Event-triggered asynchronous synchronization control for switched generalized neural networks with time-varying delay
The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization co...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sang, Hong [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast - Liu, Yang ELSEVIER, 2018, an international journal, Amsterdam |
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| Übergeordnetes Werk: |
volume:505 ; year:2022 ; day:21 ; month:09 ; pages:154-165 ; extent:12 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.neucom.2022.07.021 |
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ELV058577491 |
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| 520 | |a The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. | ||
| 520 | |a The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. | ||
| 650 | 7 | |a Switched generalized neural networks |2 Elsevier | |
| 650 | 7 | |a Event-triggered communication |2 Elsevier | |
| 650 | 7 | |a Synchronization control |2 Elsevier | |
| 650 | 7 | |a ℓ 2 - ℓ ∞ performance |2 Elsevier | |
| 650 | 7 | |a Asynchronous phenomenon |2 Elsevier | |
| 700 | 1 | |a Nie, Hong |4 oth | |
| 700 | 1 | |a Zhao, Jun |4 oth | |
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10.1016/j.neucom.2022.07.021 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001919.pica (DE-627)ELV058577491 (ELSEVIER)S0925-2312(22)00881-5 DE-627 ger DE-627 rakwb eng 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Sang, Hong verfasserin aut Event-triggered asynchronous synchronization control for switched generalized neural networks with time-varying delay 2022transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. Switched generalized neural networks Elsevier Event-triggered communication Elsevier Synchronization control Elsevier ℓ 2 - ℓ ∞ performance Elsevier Asynchronous phenomenon Elsevier Nie, Hong oth Zhao, Jun oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:505 year:2022 day:21 month:09 pages:154-165 extent:12 https://doi.org/10.1016/j.neucom.2022.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 505 2022 21 0921 154-165 12 |
| spelling |
10.1016/j.neucom.2022.07.021 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001919.pica (DE-627)ELV058577491 (ELSEVIER)S0925-2312(22)00881-5 DE-627 ger DE-627 rakwb eng 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Sang, Hong verfasserin aut Event-triggered asynchronous synchronization control for switched generalized neural networks with time-varying delay 2022transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. Switched generalized neural networks Elsevier Event-triggered communication Elsevier Synchronization control Elsevier ℓ 2 - ℓ ∞ performance Elsevier Asynchronous phenomenon Elsevier Nie, Hong oth Zhao, Jun oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:505 year:2022 day:21 month:09 pages:154-165 extent:12 https://doi.org/10.1016/j.neucom.2022.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 505 2022 21 0921 154-165 12 |
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10.1016/j.neucom.2022.07.021 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001919.pica (DE-627)ELV058577491 (ELSEVIER)S0925-2312(22)00881-5 DE-627 ger DE-627 rakwb eng 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Sang, Hong verfasserin aut Event-triggered asynchronous synchronization control for switched generalized neural networks with time-varying delay 2022transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. Switched generalized neural networks Elsevier Event-triggered communication Elsevier Synchronization control Elsevier ℓ 2 - ℓ ∞ performance Elsevier Asynchronous phenomenon Elsevier Nie, Hong oth Zhao, Jun oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:505 year:2022 day:21 month:09 pages:154-165 extent:12 https://doi.org/10.1016/j.neucom.2022.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 505 2022 21 0921 154-165 12 |
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10.1016/j.neucom.2022.07.021 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001919.pica (DE-627)ELV058577491 (ELSEVIER)S0925-2312(22)00881-5 DE-627 ger DE-627 rakwb eng 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Sang, Hong verfasserin aut Event-triggered asynchronous synchronization control for switched generalized neural networks with time-varying delay 2022transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. Switched generalized neural networks Elsevier Event-triggered communication Elsevier Synchronization control Elsevier ℓ 2 - ℓ ∞ performance Elsevier Asynchronous phenomenon Elsevier Nie, Hong oth Zhao, Jun oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:505 year:2022 day:21 month:09 pages:154-165 extent:12 https://doi.org/10.1016/j.neucom.2022.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 505 2022 21 0921 154-165 12 |
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10.1016/j.neucom.2022.07.021 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001919.pica (DE-627)ELV058577491 (ELSEVIER)S0925-2312(22)00881-5 DE-627 ger DE-627 rakwb eng 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl Sang, Hong verfasserin aut Event-triggered asynchronous synchronization control for switched generalized neural networks with time-varying delay 2022transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. Switched generalized neural networks Elsevier Event-triggered communication Elsevier Synchronization control Elsevier ℓ 2 - ℓ ∞ performance Elsevier Asynchronous phenomenon Elsevier Nie, Hong oth Zhao, Jun oth Enthalten in Elsevier Liu, Yang ELSEVIER The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast 2018 an international journal Amsterdam (DE-627)ELV002603926 volume:505 year:2022 day:21 month:09 pages:154-165 extent:12 https://doi.org/10.1016/j.neucom.2022.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ AR 505 2022 21 0921 154-165 12 |
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Enthalten in The TORC1 signaling pathway regulates respiration-induced mitophagy in yeast Amsterdam volume:505 year:2022 day:21 month:09 pages:154-165 extent:12 |
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Switched generalized neural networks Event-triggered communication Synchronization control ℓ 2 - ℓ ∞ performance Asynchronous phenomenon |
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The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. |
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The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. |
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The present research is concerned with the ℓ 2 - ℓ ∞ synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov–Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted ℓ 2 - ℓ ∞ performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. |
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