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Can I read System Identification with Quantized Observations (Systems & Control: Foundations & Applications) on EtoBox?
System Identification with Quantized Observations (Systems & Control: Foundations & Applications) by Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao (auth.) is a nonfiction available to read on EtoBox.
What is System Identification with Quantized Observations (Systems & Control: Foundations & Applications) about?
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
Who reads System Identification with Quantized Observations (Systems & Control: Foundations & Applications)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao (auth.)
- Publisher
- Birkhäuser Boston
- Published
- 2010
- Language
- EN
- ISBN
- 9786612928116
- Category
- nonfiction
- Subjects
- Computer Science, Science, Programming
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