Articoli correlati a Variable Gain Design in Stochastic Iterative Learning...
- EditoreSpringer-Verlag GmbH
- Data di pubblicazione2025
- ISBN 10 9819782805
- ISBN 13 9789819782802
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine364
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Variable Gain Design in Stochastic Iterative Learning Control (Hardcover)
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Hardcover. Condizione: new. Hardcover. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9789819782802
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Variable Gain Design in Stochastic Iterative Learning Control
Editore:
Springer, Berlin, Springer Nature Singapore, Springer, 2025
ISBN 10: 9819782805
ISBN 13: 9789819782802
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. 348 pp. Englisch. Codice articolo 9789819782802
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Variable Gain Design in Stochastic Iterative Learning Control (Intelligent Control and Learning Systems, 13)
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Condizione: New. In. Codice articolo ria9789819782802_new
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Variable Gain Design in Stochastic Iterative Learning Control
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Codice articolo 1817951393
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Variable Gain Design in Stochastic Iterative Learning Control (Intelligent Control and Learning Systems, 13)
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Condizione: New. Codice articolo I-9789819782802
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Variable Gain Design in Stochastic Iterative Learning Control
Editore:
Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819782805
ISBN 13: 9789819782802
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. Codice articolo 9789819782802
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Variable Gain Design in Stochastic Iterative Learning Control (Hardcover)
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
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Hardcover. Condizione: new. Hardcover. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9789819782802
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Variable Gain Design in Stochastic Iterative Learning Control (Hardcover)
Da: CitiRetail, Stevenage, Regno Unito
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Hardcover. Condizione: new. Hardcover. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance multiple performance indices such as high tracking precision, effective noise reduction, and fast convergence speed. These gain design techniques can be applied to various control algorithms for stochastic systems to realize a high tracking performance. This book provides a series of design and analysis techniques for the establishment of a systematic framework of gain design in SILC. The book is intended for scholars and graduate students who are interested in stochastic control, recursive algorithms design, and iterative learning control. This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9789819782802
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Variable Gain Design in Stochastic Iterative Learning Control (Intelligent Control and Learning Systems, 13)
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 2024th edition NO-PA16APR2015-KAP. Codice articolo 26404307087
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Variable Gain Design in Stochastic Iterative Learning Control (Intelligent Control and Learning Systems, 13)
Print on DemandDa: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand. Codice articolo 409895760
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