عنوان

System identification with quantized observations /

(Number (ISBN

0817649565

(Number (ISBN

1282928112

(Number (ISBN

6612928115

(Number (ISBN

9780817649562

(Number (ISBN

9781282928114

(Number (ISBN

9786612928116

Erroneous ISBN

0817649557

Erroneous ISBN

9780817649555

Number

b784441

Title Proper

System identification with quantized observations /

General Material Designation

[Book]

First Statement of Responsibility

Le Yi Wang [and others].

Place of Publication, Distribution, etc.

Boston :

Name of Publisher, Distributor, etc.

Birkhäuser,

Date of Publication, Distribution, etc.

©2010.

Specific Material Designation and Extent of Item

1 online resource (xviii, 317 pages) :

Other Physical Details

illustrations

Series Title

Systems & control

Text of Note

Includes bibliographical references and index.

Text of Note

pt. 1. Overview -- pt. 2. Stochastic methods for linear systems -- pt. 3. Deterministic methods for linear systems -- pt. 4. Identification of nonlinear and switching systems -- pt. 5. Complexity analysis.

0

Text of Note

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. Providing a comprehensive coverage of quantized identification, the book treats linear and nonlinear systems, as well as time-invariant and time-varying systems. The authors examine independent and dependent noises, stochastic- and deterministic-bounded noises, and also noises with unknown distribution functions. The key methodologies combine empirical measures and information-theoretic approaches to derive identification algorithms, provide convergence and convergence speed, establish efficiency of estimation, and explore input design, threshold selection and adaptation, and complexity analysis. 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. Selected material from the book may be used in graduate-level courses on system identification.

Source for Acquisition/Subscription Address

Springer

Stock Number

978-0-8176-4955-5

Title

System identification with quantized observations.

International Standard Book Number

0817649557

Quantum theory.

System identification-- Mathematical models.

System identification.

Quantum theory.

SCIENCE-- System Theory.

System identification-- Mathematical models.

System identification.

TECHNOLOGY & ENGINEERING-- Operations Research.

GPFC

SCI-- 064000

TEC-- 029000

Number

Edition

Class number

Book number

Wang, Le Yi.

Date of Transaction

20201206223513.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y