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Stochastic systems : estimation, identification, and adaptive control / P.R. Kumar (Texas A&M University, College Station, Texas) ; Pravin Varaiya (University of California at Berkeley, Berkeley, California)

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Classics in applied mathematics ; 75Publisher: Philadelphia : SIAM, Society for Industrial and Applied Mathematics, 2016Description: 1 Online-Ressource (XVIII, 358 Seiten)ISBN:
  • 9781611974263
Subject(s): Additional physical formats: 9781611974256 | Erscheint auch als: 9781611974256 Druck-AusgabeDDC classification:
  • 519.2/3 23
MSC: MSC: *93-02 | 01A75 | 93E11 | 93E12 | 93E20 | 93C40 | 49L20DOI: DOI: 10.1137/1.9781611974263Online resources: Summary: Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and the conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.PPN: PPN: 848503767Package identifier: Produktsigel: ZDB-72-SIA
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