Stochastic Models: Estimation and Control: v. 2 PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Stochastic Models: Estimation and Control: v. 2 PDF full book. Access full book title Stochastic Models: Estimation and Control: v. 2 by Maybeck. Download full books in PDF and EPUB format.
Author: Maybeck
Publisher: Academic Press
ISBN: 0080956513
Category : Mathematics
Languages : en
Pages : 307
Get Book Here
Book Description
Stochastic Models: Estimation and Control: v. 2
Author: Maybeck
Publisher: Academic Press
ISBN: 0080956513
Category : Mathematics
Languages : en
Pages : 307
Get Book Here
Book Description
Stochastic Models: Estimation and Control: v. 2
Author: Peter S. Maybeck
Publisher: Academic Press
ISBN: 0080960030
Category : Mathematics
Languages : en
Pages : 311
Get Book Here
Book Description
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.
Author: Maybeck
Publisher: Academic Press
ISBN: 0080956505
Category : Mathematics
Languages : en
Pages : 445
Get Book Here
Book Description
Stochastic Models: Estimation and Control: v. 1
Author: Peter S. Maybeck
Publisher:
ISBN: 9780124807020
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Przemyslaw Dymarski
Publisher: BoD – Books on Demand
ISBN: 9533072083
Category : Computers
Languages : en
Pages : 329
Get Book Here
Book Description
Hidden Markov Models (HMMs), although known for decades, have made a big career nowadays and are still in state of development. This book presents theoretical issues and a variety of HMMs applications in speech recognition and synthesis, medicine, neurosciences, computational biology, bioinformatics, seismology, environment protection and engineering. I hope that the reader will find this book useful and helpful for their own research.
Author: Peter S. Maybeck
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Jason L. Speyer
Publisher: SIAM
ISBN: 0898716551
Category : Mathematics
Languages : en
Pages : 391
Get Book Here
Book Description
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 aswell as the dynamic programming derivation of the linear quadratic Gaussian (LQG) and the linear exponential Gaussian (LEG) controllers and their relation to HÝsubscript 2¨ and HÝsubscript Ýinfinity¨¨ controllers and system robustness. This book is suitable for first-year graduate students in electrical, mechanical, chemical, and aerospace engineering specializing in systems and control. Students in computer science, economics, and possibly business will also find it useful.
Author: Peter S. Maybeck
Publisher:
ISBN:
Category : Control theory
Languages : en
Pages :
Get Book Here
Book Description
Author: Howard M. Taylor
Publisher: Academic Press
ISBN: 1483269272
Category : Mathematics
Languages : en
Pages : 410
Get Book Here
Book Description
An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.
Author: Peter S. Maybeck
Publisher:
ISBN: 9780124110427
Category :
Languages : en
Pages : 423
Get Book Here
Book Description
