Stochastic Processes, Estimation, and Control
Jason L Speyer
ISBN 10: 8120346823 ISBN 13: 9788120346826
Verlag: PHI Learning, 2013
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Titel: Stochastic Processes, Estimation, and Control
Verlag: PHI Learning
Erscheinungsdatum: 2013
Einband: Softcover
Zustand: very_good
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Stochastic Processes, Estimation, and Control (eng)
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Society for Industrial & Applied Mathematics,U.S., 2008
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Stochastic Processes, Estimation, and Control (Advances in Design and Control)
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Society for Industrial & Applied Mathematics,U.S., 2011
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Stochastic Processes, Estimation, and Control
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Stochastic Processes, Estimation, and Control
Verlag:
Society for Industrial and Applied Mathematics,U.S., US, 2011
ISBN 10: 1611971950
ISBN 13: 9781611971958
Neu
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Hardback. Zustand: New. Uncertainty and risk are integral to engineering because real systems have inherent ambiguities that arise naturally or due to our inability to model complex physics. The authors discuss probability theory, stochastic processes, estimation, and stochastic control strategies and show how probability can be used to model uncertainty in control and estimation problems. The material is practical and rich in research opportunities.The authors provide a comprehensive treatment of stochastic systems from the foundations of probability to stochastic optimal control. The book covers discrete- and continuous-time stochastic dynamic systems leading to the derivation of the Kalman filter, its properties, and its relation to the frequency domain Wiener filter as well as the dynamic programming derivation of the linear quadratic Gaussian (LQG) and the linear exponential Gaussian (LEG) controllers and their relation to H2 and H-inf controllers and system robustness.Stochastic Processes, Estimation, and Control is divided into three related sections. First, the authors present the concepts of probability theory, random variables, and stochastic processes, which lead to the topics of expectation, conditional expectation, and discrete-time estimation and the Kalman filter. After establishing this foundation, stochastic calculus and continuous-time estimation are introduced. Finally, dynamic programming for both discrete-time and continuous-time systems leads to the solution of optimal stochastic control problems, resulting in controllers with significant practical application. Bestandsnummer des Verkäufers LU-9781611971958
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Stochastic Processes, Estimation, and Control
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Society for Industrial & Applied Mathematics,U.S., 2008
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ISBN 13: 9781611971958
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Stochastic Processes, Estimation, and Control
Verlag:
Society for Industrial and Applied Mathematics,U.S., US, 2011
ISBN 10: 1611971950
ISBN 13: 9781611971958
Neu
Hardcover
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Hardback. Zustand: New. Uncertainty and risk are integral to engineering because real systems have inherent ambiguities that arise naturally or due to our inability to model complex physics. The authors discuss probability theory, stochastic processes, estimation, and stochastic control strategies and show how probability can be used to model uncertainty in control and estimation problems. The material is practical and rich in research opportunities.The authors provide a comprehensive treatment of stochastic systems from the foundations of probability to stochastic optimal control. The book covers discrete- and continuous-time stochastic dynamic systems leading to the derivation of the Kalman filter, its properties, and its relation to the frequency domain Wiener filter as well as the dynamic programming derivation of the linear quadratic Gaussian (LQG) and the linear exponential Gaussian (LEG) controllers and their relation to H2 and H-inf controllers and system robustness.Stochastic Processes, Estimation, and Control is divided into three related sections. First, the authors present the concepts of probability theory, random variables, and stochastic processes, which lead to the topics of expectation, conditional expectation, and discrete-time estimation and the Kalman filter. After establishing this foundation, stochastic calculus and continuous-time estimation are introduced. Finally, dynamic programming for both discrete-time and continuous-time systems leads to the solution of optimal stochastic control problems, resulting in controllers with significant practical application. Bestandsnummer des Verkäufers LU-9781611971958
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Stochastic Processes, Estimation, and Control (Hardcover)
ISBN 10: 1611971950
ISBN 13: 9781611971958
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Hardcover. Zustand: new. Hardcover. Uncertainty and risk are integral to engineering because real systems have inherent ambiguities that arise naturally or due to our inability to model complex physics. The authors discuss probability theory, stochastic processes, estimation, and stochastic control strategies and show how probability can be used to model uncertainty in control and estimation problems. The material is practical and rich in research opportunities.The authors provide a comprehensive treatment of stochastic systems from the foundations of probability to stochastic optimal control. The book covers discrete- and continuous-time stochastic dynamic systems leading to the derivation of the Kalman filter, its properties, and its relation to the frequency domain Wiener filter as well as the dynamic programming derivation of the linear quadratic Gaussian (LQG) and the linear exponential Gaussian (LEG) controllers and their relation to H2 and H-inf controllers and system robustness.Stochastic Processes, Estimation, and Control is divided into three related sections. First, the authors present the concepts of probability theory, random variables, and stochastic processes, which lead to the topics of expectation, conditional expectation, and discrete-time estimation and the Kalman filter. After establishing this foundation, stochastic calculus and continuous-time estimation are introduced. Finally, dynamic programming for both discrete-time and continuous-time systems leads to the solution of optimal stochastic control problems, resulting in controllers with significant practical application. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781611971958
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Stochastic Processes, Estimation, and Control (Advances in Design and Control)
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Society for Industrial & Applied Mathematics,U.S., 2008
ISBN 10: 1611971950
ISBN 13: 9781611971958
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Stochastic Processes, Estimation, and Control (Advances in Design and Control)
Verlag:
Society for Industrial & Applied Mathematics,U.S., 2008
ISBN 10: 1611971950
ISBN 13: 9781611971958
Neu
Hardcover
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Stochastic Processes, Estimation, and Control (Advances in Design and Control)
Verlag:
Society for Industrial & Applied Mathematics,U.S., 2008
ISBN 10: 1611971950
ISBN 13: 9781611971958
Neu
Hardcover
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