| 书目名称 | System Identification with Quantized Observations | | 编辑 | Le Yi Wang,G. George Yin,Yanlong Zhao | | 视频video | | | 概述 | First monograph dedicated to quantized identification in systems.Applications to communication and computer networks, signal processing, sensor networks, mobile agents, data fusion, remote sensing, te | | 丛书名称 | Systems & Control: Foundations & Applications | | 图书封面 |  | | 描述 | 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 sel | | 出版日期 | Book 2010 | | 关键词 | Analysis; Markov; Signal; algorithm; algorithms; communication; identification; nonlinear system; system; sys | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-8176-4956-2 | | isbn_ebook | 978-0-8176-4956-2Series ISSN 2324-9749 Series E-ISSN 2324-9757 | | issn_series | 2324-9749 | | copyright | Springer Science+Business Media, LLC 2010 |
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发表于 2025-3-21 16:37:37
