| 書目名稱 | Foundations of Deterministic and Stochastic Control | | 編輯 | Jon H. Davis | | 視頻video | http://file.papertrans.cn/347/346945/346945.mp4 | | 叢書名稱 | Systems & Control: Foundations & Applications | | 圖書封面 |  | | 描述 | Control theory has applications to a number of areas in engineering and communication theory. This introductory text on the subject is fairly self-contained, and consists of a wide range of topics that include realization problems, linear-quadratic optimal control, stability theory, stochastic modeling and recursive estimation algorithms in communications and control, and distributed system modeling. In the early chapters methods based on Wiener--Hopf integral equations are utilized. The fundamentals of both linear control systems as well as stochastic control are presented in a unique way so that the methods generalize to a useful class of distributed parameter and nonlinear system models. The control of distributed parameter systems (systems governed by PDEs) is based on the framework of linear quadratic Gaussian optimization problems. Additionally, the important notion of state space modeling of distributed systems is examined. Basic results due to Gohberg and Krein on convolution are given and many results are illustrated with some examples that carry throughout the text. The standard linear regulator problem is studied in the continuous and discrete time cases, followed by a d | | 出版日期 | Textbook 2002 | | 關(guān)鍵詞 | Communications; Control/Systems Theory; Markov model; Markov process; PDEs; Stochastic processes; Tracking | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-0071-0 | | isbn_softcover | 978-1-4612-6599-3 | | isbn_ebook | 978-1-4612-0071-0Series ISSN 2324-9749 Series E-ISSN 2324-9757 | | issn_series | 2324-9749 | | copyright | Birkh?user Boston 2002 |
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