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Stochastic Optimal Control Theory with Application in Self-Tuning Control Lecture Notes in Control and Information Sciences, 117 1st Edition
A major contribution is the derivation of both scalar and multivariable optimal controllers for the rejection of measurable disturbances using feedforward.
Stochastic Optimal Control Theory with Application in Self-Tuning Control Lecture Notes in Control and Information Sciences, 117 1st Edition
Item #: 28169767

Stochastic Optimal Control Theory with Application in Self-Tuning Control Lecture Notes in Control and Information Sciences, 117 1st Edition

Item #: 28169767

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A major contribution is the derivation of both scalar and multivariable optimal controllers for the rejection of measurable disturbances using feedforward.
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What Stands Out

Practical Applications
This book provides real-world applications of stochastic optimal control, making complex theories accessible to practitioners and students looking to enhance self-tuning control methods in various industries.
Comprehensive Coverage
It covers a wide range of topics in stochastic control, ensuring a thorough understanding of the subject, suitable for advanced researchers, engineers, and graduate students in control theory.
Educational Focus
Designed as lecture notes, it balances theoretical foundations with practical insights, enhancing learning experiences for both classroom settings and self-study, making it a valuable resource for educators and learners alike.

Product Details

Find and purchase the 1st edition of Stochastic Optimal Control Theory with Application in Self-Tuning Control Lecture Notes in Control and Information Sciences book at Solomon Islands, Ubuy Solomon Islands. Get your copy now!
Publisher Springer
Publication date February 6, 1989
Edition 1st
Language English
Print length 321 pages
ISBN-10 3540505326
ISBN-13 978-3540505327
Item Weight 1.14 pounds (520 grams)
Dimensions 6.69 x 0.73 x 9.61 inches (17 x 1.9 x 24.4 cm)

Who Should Buy?

Suitable For
  • Graduate Students

    Ideal for students pursuing advanced studies in control theory and stochastic processes, enhancing their theoretical foundation.

  • Control Engineers

    Beneficial for professionals in control engineering looking to implement stochastic optimal control in real-world applications.

  • Researchers

    Useful for researchers focusing on advanced control methodologies and self-tuning systems in dynamic environments.

Not Suitable For
  • Beginners

    Not suitable for those new to control theory; requires prior knowledge of mathematics and control systems.

  • Practitioners

    May not meet the needs of practitioners seeking quick, hands-on solutions rather than theoretical foundations.

  • Casual Readers

    Not recommended for casual readers, as the content is highly technical and specialized for academic purposes.

Product Description

Stochastic Optimal Control Theory with Application in Self-Tuning Control Lecture Notes in Control and Information Sciences, 117 1st Edition

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Customer Questions & Answers

  • Question: What are some key contributions of this book?

    Answer: The book contributes to stochastic optimal control and self-tuning control.
  • Question: Who would benefit from reading this book?

    Answer: Research workers, teachers, students of control engineering, and practicing industrial control engineers.
  • Question: Is there a practical application demonstrated in the book?

    Answer: Yes, a case-study on the pressure control loop of a power station is presented.
  • Question: Is this book suitable for beginners?

    Answer: Yes, the book is accessible for beginners as well as experts in the field.
  • Question: Does the book include examples and exercises?

    Answer: Yes, the book includes relevant examples and exercises to help readers understand and apply the concepts discussed.
  • Question: What topics are covered in the book?

    Answer: The book covers various topics related to stochastic optimal control theory and self-tuning control.

Electric Machinery & Motors Editorial Review

The 'Stochastic Optimal Control Theory with Application in Self-Tuning Control' book offers a comprehensive overview of the theory and practice of stochastic optimal control. The book covers various topics related to self-tuning control, providing insights into the latest advancements in the field. The authors present the material in a clear and concise manner, making it accessible for both beginners and experts in the field. The book also includes relevant examples and exercises to help readers understand and apply the concepts discussed. Overall, this book is a valuable resource for anyone interested in stochastic optimal control and self-tuning control.

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Pros

  • Comprehensive overview of stochastic optimal control theory
  • Covers the application of self-tuning control
  • Clear and concise presentation of material
  • Accessible for beginners and experts
  • Includes examples and exercises for better understanding

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