Isbn: 9780817649555 - system identification with quantized observations (systems & control: foundations & applications) (16 resultados)

Condición: As New. Unread book in perfect condition.

Condición: New. In.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. This book concerns the identi?cation of systems in which only quantized output observations are available, due to sensor limitations, signal quan- zation, or coding for communications. Although there are many excellent treaties in system identi?cation and its related subject areas, a syst- atic study of identi?cation with quantized data is still in its early stage. This book presents new methodologies that utilize quantized information in system identi?cation and explores their potential in extending control capabilities for systems with limited sensor information or networked s- tems. The book is an outgrowth of our recent research on quantized iden- ?cation; it o?ers several salient features. From the viewpoint of targeted plants, it treats both linear and nonlinear systems, and both time-invariant and time-varying systems. In terms of noise types, it includes independent and dependent noises, stochastic disturbances and deterministic bounded noises, and noises with unknown distribution functions. The key meth- ologies of the book combine empirical measures and information-theoretic approaches to cover convergence, convergence rate, estimator e?ciency, - put design, threshold selection, and complexity analysis. We hope that it can shed new insights and perspectives for system identi?cation.…

Condición: New. Written for a broad audience of graduate students, researchers, and practitioners alike, this volume offers dedicated coverage of quantized information in system identification. Applications to signal processing, computer networks, mobile agents, telemedicine, and data fusion are included. Series: Systems & Control: Foundations and Applications. Num Pages: 335 pages, 42 black & white illustrations, 3 black & white tables, biography. BIC Classification: GPFC; TBM; TJFM; TJK. Category: (P) Professional & Vocational. Dimension: 242 x 166 x 26. Weight in Grams: 624. . 2010. Hardback. . . . .…

Condición: New. pp. 336.

Condición: New. Written for a broad audience of graduate students, researchers, and practitioners alike, this volume offers dedicated coverage of quantized information in system identification. Applications to signal processing, computer networks, mobile agents, telemedicine, and data fusion are included. Series: Systems & Control: Foundations and Applications. Num Pages: 335 pages, 42 black & white illustrations, 3 black & white tables, biography. BIC Classification: GPFC; TBM; TJFM; TJK. Category: (P) Professional & Vocational. Dimension: 242 x 166 x 26. Weight in Grams: 624. . 2010. Hardback. . . . . Books ship from the US and Ireland.…

Hardback. Condición: New. This book concerns the identi?cation of systems in which only quantized output observations are available, due to sensor limitations, signal quan- zation, or coding for communications. Although there are many excellent treaties in system identi?cation and its related subject areas, a syst- atic study of identi?cation with quantized data is still in its early stage. This book presents new methodologies that utilize quantized information in system identi?cation and explores their potential in extending control capabilities for systems with limited sensor information or networked s- tems. The book is an outgrowth of our recent research on quantized iden- ?cation; it o?ers several salient features. From the viewpoint of targeted plants, it treats both linear and nonlinear systems, and both time-invariant and time-varying systems. In terms of noise types, it includes independent and dependent noises, stochastic disturbances and deterministic bounded noises, and noises with unknown distribution functions. The key meth- ologies of the book combine empirical measures and information-theoretic approaches to cover convergence, convergence rate, estimator e?ciency, - put design, threshold selection, and complexity analysis. We hope that it can shed new insights and perspectives for system identi?cation.…

Condición: new. Questo è un articolo print on demand.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor networks, mobile agents, coordinated data fusion, remote sensing, telemedicine, and other fields in which noise-corrupted quantized data need to be processed.System Identification with Quantized Observations is an excellent resource for graduate students, systems theorists, control engineers, applied mathematicians, as well as practitioners who use identification algorithms in their work. 317 pp. Englisch.…

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First monograph dedicated to quantized identification in systemsApplications to communication and computer networks, signal processing, sensor networks, mobile agents, data fusion, remote sensing, telemedicineSelected material from the book.…

Condición: New. Print on Demand pp. 336 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 336.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book concerns the identi cation of systems in which only quantized output observations are available, due to sensor limitations, signal quan- zation, or coding for communications. Although there are many excellent treaties in system identi cation and its related subject areas, a syst- atic study of identi cation with quantized data is still in its early stage. This book presents new methodologies that utilize quantized information in system identi cation and explores their potential in extending control capabilities for systems with limited sensor information or networked s- tems. The book is an outgrowth of our recent research on quantized iden- cation; it o ers several salient features. From the viewpoint of targeted plants, it treats both linear and nonlinear systems, and both time-invariant and time-varying systems. In terms of noise types, it includes independent and dependent noises, stochastic disturbances and deterministic bounded noises, and noises with unknown distribution functions. The key meth- ologies of the book combine empirical measures and information-theoretic approaches to cover convergence, convergence rate, estimator e ciency, - put design, threshold selection, and complexity analysis. We hope that it can shed new insights and perspectives for system identi cation.…