| 書目名稱 | Identification and Stochastic Adaptive Control | | 編輯 | Han-Fu Chen,Lei Guo | | 視頻video | http://file.papertrans.cn/461/460826/460826.mp4 | | 叢書名稱 | Systems & Control: Foundations & Applications | | 圖書封面 |  | | 描述 | Identifying the input-output relationship of a system or discovering the evolutionary law of a signal on the basis of observation data, and applying the constructed mathematical model to predicting, controlling or extracting other useful information constitute a problem that has been drawing a lot of attention from engineering and gaining more and more importance in econo- metrics, biology, environmental science and other related areas. Over the last 30-odd years, research on this problem has rapidly developed in various areas under different terms, such as time series analysis, signal processing and system identification. Since the randomness almost always exists in real systems and in observation data, and since the random process is sometimes used to model the uncertainty in systems, it is reasonable to consider the object as a stochastic system. In some applications identification can be carried out off line, but in other cases this is impossible, for example, when the structure or the parameter of the system depends on the sample, or when the system is time-varying. In these cases we have to identify the system on line and to adjust the control in accordance with the model whi | | 出版日期 | Book 1991 | | 關(guān)鍵詞 | Martingal; Martingale; Martingale difference sequence; Parameter; approximation; calculus; control; control | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-0429-9 | | isbn_softcover | 978-1-4612-6756-0 | | isbn_ebook | 978-1-4612-0429-9Series ISSN 2324-9749 Series E-ISSN 2324-9757 | | issn_series | 2324-9749 | | copyright | Springer Science+Business Media New York 1991 |
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