Introduction to Stochastic Control Theory Karl Astrom 2006 Dover Engineering

I’m offering the 2006 Dover paperback edition of Introduction to Stochastic Control Theory by Karl J. Åström, ISBN 0-486-44531-3 / 9780486445311.

This Dover edition is an unabridged republication of Åström’s original 1970 Academic Press book, which was Volume 70 in the Mathematics in Science and Engineering series. It runs 299 pages and is intended for upper-level undergraduate and graduate study.

The text covers stochastic processes, dynamical systems, parametric optimization, optimal stochastic control, filtering and prediction, linear systems with quadratic criteria, and both discrete- and continuous-time systems. It remains useful for students, engineers and researchers working in control engineering, automation, probability and applied mathematics.

This is the green Dover softcover edition. The covers have light shelf and handling wear, including minor edge and corner wear. The interior pages are clean.

Author: Karl J. Åström

Book Title: Introduction to Stochastic Control Theory

Language: English

ISBN: 0486445313 / 9780486445311

Topic: Stochastic Control Theory, Control Systems, Stochastic Processes, Optimization

Publisher: Dover Publications, Inc.

Format: Paperback

Narrative Type: Nonfiction

Special Features: Unabridged Republication, Bibliographical References, Index

Publication Year: 2006

Signed: No

Intended Audience: Advanced Undergraduate, Graduate, Professional

Vintage: No

Ex Libris: No

Inscribed: No

Personalized: No

Era: 2000s

Illustrator: Not Specified

Literary Movement: Not Applicable

Genre: Engineering, Mathematics, Science

Subject: Control Engineering, Stochastic Processes, Optimal Control, Dynamical Systems

Introduction to Stochastic Control Theory, Karl J Astrom, Karl Åström, Dover, control engineering, stochastic processes, optimal control, stochastic systems, dynamical systems, linear systems, probability theory, filtering, prediction theory, applied mathematics, engineering mathematics, graduate engineering