Authors:Jr. Arthur E. Bryson, Yu-Chi Ho,
Publisher: Taylor & Franci
Keywords: control, estimation, optimization, applied, optimal
Number of Pages: 496
Published: 1975-01-01
List price: $93.95
ISBN-10: 0891162283
ISBN-13: 9780891162285

Author: John T. Betts
Publisher: Society for Industrial & Applied Mathematics
Keywords: control, second, programming, advances, design, nonlinear, using, methods, optimal, estimation, practical
Number of Pages: 448
Published: 2009-11-20
List price: $89.00
ISBN-10: 0898716888
ISBN-13: 9780898716887

This second edition of the popular text by John Betts incorporates lots of new material while maintaining the concise and focused presentation of the original edition. The book describes how sparse optimization methods can be combined with discretization techniques for differential-algebraic equations and used to solve optimal control and estimation problems. The interaction between optimization and integration is emphasized throughout the book. Practical Methods for Optimal Control and Estimation Using Nonlinear Programming, Second Edition includes presentation of relevant background in no

Author: Arthur Gelb
Publisher: The MIT Press
Keywords: estimation, optimal, applied
Number of Pages: 382
Published: 1974-05-15
List price: $44.00
ISBN-10: 0262570483
ISBN-13: 9780262570480

written by members of the technical staff, Analytic Sciences Corp.

Author: Frank L. Lewis
Publisher: Wiley-Interscience
Keywords: control, theory, stochastic, introduction, estimation, optimal
Number of Pages: 368
Published: 1986-04
List price: $150.00
ISBN-10: 0471837415
ISBN-13: 9780471837411

Describes the use of optimal control and estimation in the design of robots, controlled mechanisms, and navigation and guidance systems. Covers control theory specifically for students with minimal background in probability theory. Presents optimal estimation theory as a tutorial with a direct, well-organized approach and a parallel treatment of discrete and continuous time systems. Gives practical examples and computer simulations. Provides enough mathematical rigor to put results on a firm foundation without an overwhelming amount of proofs and theorems.

Author: Robert F. Stengel
Publisher: Dover Publications
Keywords: advanced, mathematics, books, dover, control, estimation, optimal
Number of Pages: 639
Published: 1994-09-20
List price: $26.95
ISBN-10: 0486682005
ISBN-13: 9780486682006

Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems.

Authors:Edward W. Kamen, Jonathan K. Su,
Publisher: Springer
Keywords: control, signal, processing, textbooks, advanced, optimal, estimation, introduction
Number of Pages: 380
Published: 1999-10-29
List price: $69.95
ISBN-10: 185233133X
ISBN-13: 9781852331337

This book provides an introductory, yet comprehensive, treatment of both Wiener and Kalman filtering, along with a development of least-squares estimation, maximum likelihood estimation, and maximum a posteriori estimation based on discrete-time measurements. A good deal of emphasis is placed in the text on showing how these different approaches to estimation fit together to form a systematic development of optimal estimation. Included in the text is a chapter on nonlinear filtering, focusing on the extended Kalman filter (EKF) and a new measurement update that uses the Levenburg-Marquardt alg

Authors:Magnus Egerstedt, Clyde Martin,
Publisher: Princeton University Press
Keywords: control, princeton, series, applied, mathematics, planning, path, theoretic, splines, optimal, statistics
Number of Pages: 228
Published: 2009-12-07
List price: $49.50
ISBN-10: 0691132968
ISBN-13: 9780691132969

Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using th
  
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