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{ "item_title" : "Stochastic Optimal Control Theory with Application in Self-Tuning Control", "item_author" : [" Kenneth J. Hunt "], "item_description" : "This book merges two major areas of control: the design of control systems and adaptive control. Original contributions are made in the polynomial approach to stochastic optimal control and the resulting control laws are then manipulated into a form suitable for application in the self-tuning control framework. A major contribution is the derivation of both scalar and multivariable optimal controllers for the rejection of measurable disturbances using feedforward. A powerful feature of the book is the presentation of a case-study in which the LQG self-tuner was tested on the pressure control loop of a power station. The broad coverage of the book should appeal not only to research workers, teachers and students of control engineering, but also to practicing industrial control engineers.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/54/050/532/3540505326_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Stochastic Optimal Control Theory with Application in Self-Tuning Control|Kenneth J. Hunt

Stochastic Optimal Control Theory with Application in Self-Tuning Control

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Overview

This book merges two major areas of control: the design of control systems and adaptive control. Original contributions are made in the polynomial approach to stochastic optimal control and the resulting control laws are then manipulated into a form suitable for application in the self-tuning control framework. A major contribution is the derivation of both scalar and multivariable optimal controllers for the rejection of measurable disturbances using feedforward. A powerful feature of the book is the presentation of a case-study in which the LQG self-tuner was tested on the pressure control loop of a power station. The broad coverage of the book should appeal not only to research workers, teachers and students of control engineering, but also to practicing industrial control engineers.

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Details

  • ISBN-13: 9783540505327
  • ISBN-10: 3540505326
  • Publisher: Springer
  • Publish Date: February 1989
  • Dimensions: 9.61 x 6.69 x 0.68 inches
  • Shipping Weight: 1.14 pounds
  • Page Count: 311

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