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Synchronization Control Markovian Complex by Wang Junyi (13 results)
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Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays (Studies in Systems, Decision and Control, 514)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
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Condition: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Hardcover. Condition: Brand New. 167 pages. 9.26x6.10x9.21 inches. In Stock.
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Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays
Published by Springer Verlag Gmbh Nov 2024, 2024
ISBN 10: 3031478371 ISBN 13: 9783031478376
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware Englisch.
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Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays
Published by Berlin Springer Nature Switzerland Springer, 2023
ISBN 10: 3031478347 ISBN 13: 9783031478345
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph studies the synchronization control of Markovian complex neural networks with time-varying delays, and the structure of the book is summarized as follows. Chapter 1 introduces the system description and some background knowledges, and also addresses the motivations of this monograph. In Chapter 2, the stochastic synchronization issue of Markovian coupled neural networks with partially unknown transition rates and random coupling strengths is investigated. In Chapter 3, the local synchronization issue of Markovian neutral complex networks with partially information of transition rates is investigated. The new delay-dependent synchronization criteria in terms of LMIs are derived, which depends on the upper and lower bounds of the delays. In Chapter 4, the local synchronization issue of Markovian nonlinear coupled neural networks with uncertain and partially unknown transition rates is investigated. The less conservative local synchronization criteria containing the bounds of delay and delay derivative are obtained based on the novel augmented Lyapunov-Krasovskii functional and a new integral inequality. In Chapter 5, the sampled-data synchronization issue of delayed complex networks with aperiodic sampling interval is investigated based on enhanced input delay approach, which makes full use of the upper bound of the variable sampling interval and the sawtooth structure information of varying input delay. In Chapter 6, the sampled-data synchronization issue of Markovian coupled neural networks with mode-dependent interval time-varying delays and aperiodic sampling intervals is investigated based on an enhanced input delay approach. Furthermore, the mode-dependent sampled-data controllers are proposed based on the delay dependent synchronization criteria. In Chapter 7, the synchronization issue of inertial neural networks with time-varying delays and generally Markovian jumping is investigated. In Chapter 8, we conclude the monograph by briefly summarizing the main theoretical findings. 159 pp. Englisch.
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Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays
Published by Springer Verlag GmbH, 2024
ISBN 10: 3031478371 ISBN 13: 9783031478376
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Synchronization Control of Markovian Complex Neural Networks with Time-varying Delays
Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031478347 ISBN 13: 9783031478345
Language: English
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This monograph studies the synchronization control of Markovian complex neural networks with time-varying delays, and the structure of the book is summarized as follows. Chapter 1 introduces the system description and some background knowledges, and also.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
