| 书目名称 | Randomized Algorithms for Analysis and Control of Uncertain Systems |
| 编辑 | Roberto Tempo,Fabrizio Dabbene,Giuseppe Calafiore |
| 视频video | |
| 概述 | Will give the reader tools for dealing with uncertainty in control systems which are more advanced and flexible than either traditional optimal control or robust control.Reduces the computational cost |
| 丛书名称 | Communications and Control Engineering |
| 图书封面 |  |
| 描述 | .Moving on from earlier stochastic and robust control paradigms, this book introduces the fundamentals of probabilistic methods in the analysis and design of uncertain systems. The use of randomized algorithms, guarantees a reduction in the computational complexity of classical robust control algorithms and in the conservativeness of methods like .H.-infinity control...Features:..• self-contained treatment explaining randomized algorithms from their genesis in the principles of probability theory to their use for robust analysis and controller synthesis; ...• comprehensive treatment of sample generation, including consideration of the difficulties involved in obtaining independent and identically distributed samples; ..• applications in congestion control of high-speed communications networks and the stability of quantized sampled-data systems. .This monograph will be of interest to theorists concerned with robust and optimal control techniques and to all control engineers dealing with system uncertainties.. |
| 出版日期 | Book 20051st edition |
| 关键词 | Analysis; Control; Control Theory; Linear Systems; Monte Carlo method; Probabilistic Design Methods; Proba |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b137802 |
| isbn_softcover | 978-1-84996-882-9 |
| isbn_ebook | 978-1-84628-052-8Series ISSN 0178-5354 Series E-ISSN 2197-7119 |
| issn_series | 0178-5354 |
| copyright | Springer-Verlag London 2005 |
发表于 2025-3-21 16:21:18
