| 書目名稱 | Linear Systems and Optimal Control |
| 編輯 | Charles K. Chui,Guanrong Chen |
| 視頻video | http://file.papertrans.cn/587/586428/586428.mp4 |
| 叢書名稱 | Springer Series in Information Sciences |
| 圖書封面 |  |
| 描述 | A knowledge of linear systems provides a firm foundation for the study of optimal control theory and many areas of system theory and signal processing. State-space techniques developed since the early sixties have been proved to be very effective. The main objective of this book is to present a brief and somewhat complete investigation on the theory of linear systems, with emphasis on these techniques, in both continuous-time and discrete-time settings, and to demonstrate an application to the study of elementary (linear and nonlinear) optimal control theory. An essential feature of the state-space approach is that both time-varying and time-invariant systems are treated systematically. When time-varying systems are considered, another important subject that depends very much on the state-space formulation is perhaps real-time filtering, prediction, and smoothing via the Kalman filter. This subject is treated in our monograph entitled "Kalman Filtering with Real-Time Applications" published in this Springer Series in Information Sciences (Volume 17). For time-invariant systems, the recent frequency domain approaches using the techniques of Adamjan, Arov, and Krein (also known as AA |
| 出版日期 | Textbook 1989 |
| 關(guān)鍵詞 | Nonlinear system; Notation; optimal control; programming; system; systems engineering; complexity |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-61312-8 |
| isbn_softcover | 978-3-642-64787-1 |
| isbn_ebook | 978-3-642-61312-8Series ISSN 0720-678X |
| issn_series | 0720-678X |
| copyright | Springer-Verlag Berlin Heidelberg 1989 |
|Archiver|手機版|小黑屋|
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