Stochastic models, estimation and control, Vol.2

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Stochastic models, estimation and control, Vol.2

Maybeck

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This volume builds upon the foundations set in Volumes 1 and 2. Chapter 13 introduces the basic concepts of stochastic control and dynamic programming as the fundamental means of synthesizing optimal stochastic control laws.

درجه (قاطیغوری(:

Computers - Computer Science

کال:

1982

خپرندویه اداره:

Academic Press

ژبه:

english

صفحه:

307

ISBN 10:

012480702X

ISBN 13:

9780124807020

لړ (سلسله):

Mathematics in Science and Engineering 141B

فایل:

DJVU, 2.18 MB

IPFS:

,

english, 1982

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ممکن تاسی علاقمند شی

Peter S. Maybeck — Stochastic models, estimation and control. Volume 3

Andrew H. Jazwinski (Eds.) — Stochastic Processes and Filtering Theory

Ferdinand van der Heijden; Robert P. Duin; Dick de Ridder; David M. J. Tax — Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB

Anderson B., Moore J — Optimal filtering

Badong C. — Kalman Filtering Under Information Theoretic Criteria

James V. Candy — Signal Processing The Model Based Approach

C.T. LEONDES (Eds.) — Nonlinear and Kalman Filtering Techniques, Part 1 of 3

C.T. LEONDES (Eds.) — Nonlinear and Kalman Filtering Techniques, Part 3 of 3

Cornelius T. Leondes (Eds.) — Stochastic Digital Control System Techniques

Andrew H. Jazwinski (Eds.) — Stochastic Processes and Filtering Theory

Peter S. Maybeck — Stochastic models, estimation and control,

Peter S. Maybeck — Stochastic models, estimation and control, Vol.2

Jerry M. Mendel — Lessons in Estimation Theory for Signal Processing, Communications, and Control (2nd Edition)

Brian D. O. Anderson, John B. Moore — Optimal Filtering

Renwick E. Curry — Estimation and Control with Quantized Measurements

Arthur Gelb — Applied Optimal Estimation

Renwick E. Curry — Estimation and Control with Quantized Measurements

Arthur Gelb — Applied optimal estimation

Dan Simon — Optimal state estimation: Kalman, H-infinity, and nonlinear approaches

Ferdinand van der Heijden, Robert Duin, Dick de Ridder, David M. J. Tax — Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB

Ferdinand van der Heijden; Robert P. Duin; Dick de Ridder; David M. J. Tax — Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB

Mohinder S. Grewal, Angus P. Andrews — Kalman filtering: theory and practice using MATLAB

Bruce P. Gibbs — Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook

George M. Siouris — An Engineering Approach to Optimal Control and Estimation Theory

Robert Grover Brown, Patrick Y. C. Hwang — Introduction to Random Signals and Applied Kalman Filtering, 3rd Edition (Book only)

Haykin S. — Kalman filtering and neural networks

Mohinder S. Grewal, Angus P. Andrews — Kalman filtering: theory and practice using MATLAB

Yaakov Bar-Shalom, X. Rong Li, Thiagalingam Kirubarajan — Estimation with applications to tracking navigation

Fredrik Gustafsson — Adaptive Filtering and Change Detection

Dan Simon — Optimal state estimation: Kalman, H [infinity] and nonlinear approaches

Shovan Bhaumik; Paresh Date — Nonlinear Estimation: Methods and Applications with Deterministic Sample Points

Frank L. Lewis, Lihua Xie, Dan Popa — Optimal and robust estimation: with an introduction to stochastic control theory (Second Edition)

Jason L. Speyer, Walter H. Chung — Stochastic processes, estimation, and control

Saerkkae S. — Bayesian Filtering and Smoothing

Chandra, Kumar Pakki Bharani; Gu, Da-Wei — Nonlinear Filtering Methods and Applications

Jitendra R. Raol, Girija Gopalratnam, Bhekisipho Twala — Nonlinear Filtering: Concepts and Engineering Applications

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