Stochastic Systems Estimation Identification by Kumar P R (13 results)

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Paperback. Condition: Brand New. 378 pages. 5.98x0.75x8.94 inches. In Stock.

Kartoniert / Broschiert. Condition: New. KlappentextrnrnA succinct and rigorous treatment of the foundations of stochastic control, ideal for advanced students already acquainted with stochastic processes.

Taschenbuch. Condition: Neu. Neuware - 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 cools- The conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics. …

Hardback. Condition: Good. Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with applications in several branches of engineering and in areas of the social sciences concerned with policy analysis and prescription. With the increase in computational capacity and the ability to collect and process huge quantities of data, an explosion of work in the area has been engendered. 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, learning, and robotics. It is ideal for students previously acquainted with probability theory and stochastic processes, who wish to learn more on decision making with uncertainty, and can be used as a course textbook for advanced undergraduate or first year graduate students.…

Hardback. Condition: Good. Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with applications in several branches of engineering and in areas of the social sciences concerned with policy analysis and prescription. With the increase in computational capacity and the ability to collect and process huge quantities of data, an explosion of work in the area has been engendered. 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, learning, and robotics. It is ideal for students previously acquainted with probability theory and stochastic processes, who wish to learn more on decision making with uncertainty, and can be used as a course textbook for advanced undergraduate or first year graduate students.…