karabutov (19 risultati)

hardcover. Condizione: Gut. 271 Seiten; 9781563960369.3 Gewicht in Gramm: 1.

Hardcover. Condizione: Good. 1563960362 Good+; Hardcover; Withdrawn library copy with the standard library markings; Covers are still glossy; Library stamps to the endpapers; Text pages are clean & unmarked; Binding is excellent with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Yellow covers with title in brown lettering; 1992, American Institute of Physics; 336 pages; "Laser Optoacoustics," by V. Z. Gusev & A. A. Karabutov.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New.

hardcover. Condizione: Very Good. Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardback. Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. An actual problem of identification theory is considered related to the non-formalized task of evaluating the model structure. Novel approaches to structural identification (SI) propose solutions to various problems of identification theory based on the analysis of geometric frameworks (GFs). This formalized approach to the structural identifiability (SID) for nonlinear dynamical systems of various classes shows that structural identifiability follows from SI. Additionally, based on the GF, estimates for the Lyapunov exponents (LEs) of dynamical systems are shown to be recoverable, detectable, and identifiable. When combined with synthesized methods and algorithms, they can be applied to the construction of mathematical models for complex processes and systems. Thus, they can be used in decision-making systems, process forecasting, control of nonlinear systems, and processing of heterogeneous time series. Novel Approaches to Structural Identification Using Geometric Framework Analysis proposes various solutions to the problem of identification theory. It discusses the development of adaptive identification and control systems for analyzing complex processes and systems. Covering topics such as parametric restrictions, distributed lags, and interconnected systems, this book is an excellent resource for data analysis specialists, mathematical software developers, professionals, researchers, scholars, academicians, and more. "We consider an actual problem of identification theory related to the non-formalized task of evaluating the model structure. We consider an actual problem of identification theory related to the non-formalized task of evaluating the model structure"-- This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. An actual problem of identification theory is considered related to the non-formalized task of evaluating the model structure. Novel approaches to structural identification (SI) propose solutions to various problems of identification theory based on the analysis of geometric frameworks (GFs). This formalized approach to the structural identifiability (SID) for nonlinear dynamical systems of various classes shows that structural identifiability follows from SI. Additionally, based on the GF, estimates for the Lyapunov exponents (LEs) of dynamical systems are shown to be recoverable, detectable, and identifiable. When combined with synthesized methods and algorithms, they can be applied to the construction of mathematical models for complex processes and systems. Thus, they can be used in decision-making systems, process forecasting, control of nonlinear systems, and processing of heterogeneous time series. Novel Approaches to Structural Identification Using Geometric Framework Analysis proposes various solutions to the problem of identification theory. It discusses the development of adaptive identification and control systems for analyzing complex processes and systems. Covering topics such as parametric restrictions, distributed lags, and interconnected systems, this book is an excellent resource for data analysis specialists, mathematical software developers, professionals, researchers, scholars, academicians, and more. "We consider an actual problem of identification theory related to the non-formalized task of evaluating the model structure. We consider an actual problem of identification theory related to the non-formalized task of evaluating the model structure"-- This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. An actual problem of identification theory is considered related to the non-formalized task of evaluating the model structure. Novel approaches to structural identification (SI) propose solutions to various problems of identification theory based on the analysis of geometric frameworks (GFs). This formalized approach to the structural identifiability (SID) for nonlinear dynamical systems of various classes shows that structural identifiability follows from SI. Additionally, based on the GF, estimates for the Lyapunov exponents (LEs) of dynamical systems are shown to be recoverable, detectable, and identifiable. When combined with synthesized methods and algorithms, they can be applied to the construction of mathematical models for complex processes and systems. Thus, they can be used in decision-making systems, process forecasting, control of nonlinear systems, and processing of heterogeneous time series. Novel Approaches to Structural Identification Using Geometric Framework Analysis proposes various solutions to the problem of identification theory. It discusses the development of adaptive identification and control systems for analyzing complex processes and systems. Covering topics such as parametric restrictions, distributed lags, and interconnected systems, this book is an excellent resource for data analysis specialists, mathematical software developers, professionals, researchers, scholars, academicians, and more. "We consider an actual problem of identification theory related to the non-formalized task of evaluating the model structure. We consider an actual problem of identification theory related to the non-formalized task of evaluating the model structure"-- This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. An actual problem of identification theory is considered related to the non-formalized task of evaluating the model structure. Novel approaches to structural identification (SI) propose solutions to various problems of identification theory based on the analysis of geometric frameworks (GFs). This formalized approach to the structural identifiability (SID) for nonlinear dynamical systems of various classes shows that structural identifiability follows from SI. Additionally, based on the GF, estimates for the Lyapunov exponents (LEs) of dynamical systems are shown to be recoverable, detectable, and identifiable. When combined with synthesized methods and algorithms, they can be applied to the construction of mathematical models for complex processes and systems. Thus, they can be used in decision-making systems, process forecasting, control of nonlinear systems, and processing of heterogeneous time series. Novel Approaches to Structural Identification Using Geometric Framework Analysis proposes various solutions to the problem of identification theory. It discusses the development of adaptive identification and control systems for analyzing complex processes and systems. Covering topics such as parametric restrictions, distributed lags, and interconnected systems, this book is an excellent resource for data analysis specialists, mathematical software developers, professionals, researchers, scholars, academicians, and more. "We consider an actual problem of identification theory related to the non-formalized task of evaluating the model structure. We consider an actual problem of identification theory related to the non-formalized task of evaluating the model structure"-- This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condizione: Neu. New Approaches to Identifying Structures Using Geometric Structure Analysis | Design and Adaptation | Nikolay Nikolayevich Karabutov | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337308234 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. New Approaches to Identifying Structures Using Geometric Structure Analysis | Design and Adaptation | Nikolay Nikolayevich Karabutov | Buch | Englisch | 2025 | IGI Global | EAN 9798337308227 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.