System Identification Using Regular And Quantized Observations PDF Download
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Author | : Qi He |
Publisher | : Springer Science & Business Media |
Total Pages | : 100 |
Release | : 2013-02-11 |
Genre | : Science |
ISBN | : 1461462924 |
Download System Identification Using Regular and Quantized Observations Book in PDF, ePub and Kindle
This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular. By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new perspective to understand the fundamental relationship between probabilistic errors and resources, which may represent data sizes in computer usage, computational complexity in algorithms, sample sizes in statistical analysis and channel bandwidths in communications.
Author | : Springer |
Publisher | : |
Total Pages | : 108 |
Release | : 2013-02-01 |
Genre | : |
ISBN | : 9781461462934 |
Download System Identification Using Regular and Quantized Observations Book in PDF, ePub and Kindle
Author | : Le Yi Wang |
Publisher | : Springer Science & Business Media |
Total Pages | : 317 |
Release | : 2010-05-18 |
Genre | : Science |
ISBN | : 0817649565 |
Download System Identification with Quantized Observations Book in PDF, ePub and Kindle
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.
Author | : Le Yi Wang |
Publisher | : |
Total Pages | : 317 |
Release | : |
Genre | : Quantum theory |
ISBN | : |
Download System Identification with Quantized Observations Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 317 |
Release | : 2010 |
Genre | : Quantum theory |
ISBN | : |
Download System Identification with Quantized Observations Book in PDF, ePub and Kindle
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.
Author | : Koji Tsumura |
Publisher | : |
Total Pages | : 14 |
Release | : 2005 |
Genre | : |
ISBN | : |
Download Criteria for System Identification with Quantized Data and the Optimal Quantization Schemes Book in PDF, ePub and Kindle
Author | : 郭金 |
Publisher | : |
Total Pages | : 138 |
Release | : 2019 |
Genre | : System identification |
ISBN | : 9787502479930 |
Download Event-triggered Identification of Systems with Quantized Observations Book in PDF, ePub and Kindle
Author | : P. Eykhoff |
Publisher | : Chichester ; New York : Wiley |
Total Pages | : 582 |
Release | : 1974-05-23 |
Genre | : Mathematics |
ISBN | : |
Download System Identification Parameter and State Estimation Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 14 |
Release | : 2005 |
Genre | : |
ISBN | : |
Download Criteria for System Identification with Quantized Data and the Optimal Quantization Schemes Book in PDF, ePub and Kindle
Author | : Jerzy Swiątek |
Publisher | : Springer Science & Business Media |
Total Pages | : 796 |
Release | : 2013-08-13 |
Genre | : Technology & Engineering |
ISBN | : 3319018574 |
Download Advances in Systems Science Book in PDF, ePub and Kindle
The International Conference on Systems Science 2013 (ICSS 2013) was the 18th event of the series of international scientific conferences for researchers and practitioners in the fields of systems science and systems engineering. The conference took place in Wroclaw, Poland during September 10-12, 2013 and was organized by Wroclaw University of Technology and co-organized by: Committee of Automatics and Robotics of Polish Academy of Sciences, Committee of Computer Science of Polish Academy of Sciences and Polish Section of IEEE. The papers included in the proceedings cover the following topics: Control Theory, Databases and Data Mining, Image and Signal Processing, Machine Learning, Modeling and Simulation, Operational Research, Service Science, Time series and System Identification. The accepted and presented papers highlight new trends and challenges in systems science and systems engineering.