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{ "item_title" : "Parameter Estimation and Adaptive Control for Nonlinear Servo Systems", "item_author" : [" Shubo Wang", "Jing Na", "Xuemei Ren "], "item_description" : "Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification. This book offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory, this book covers the latest advances in observer-based control design and provides fundamentals, algorithms, and key applications in the fields of power systems, robotics and mechatronics, flight, and automotive systems.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/44/315/574/0443155747_b.jpg", "price_data" : { "retail_price" : "165.00", "online_price" : "165.00", "our_price" : "165.00", "club_price" : "165.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Parameter Estimation and Adaptive Control for Nonlinear Servo Systems|Shubo Wang

Parameter Estimation and Adaptive Control for Nonlinear Servo Systems

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Overview

Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification. This book offers an array of new, real-world applications in the field. Written by eminent scientists in the field of control theory, this book covers the latest advances in observer-based control design and provides fundamentals, algorithms, and key applications in the fields of power systems, robotics and mechatronics, flight, and automotive systems.

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Details

  • ISBN-13: 9780443155741
  • ISBN-10: 0443155747
  • Publisher: Academic Press
  • Publish Date: January 2024
  • Dimensions: 8.91 x 6.01 x 0.71 inches
  • Shipping Weight: 1.32 pounds
  • Page Count: 302

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