Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also introducing exciting cutting-edge technologies in the field of learning-based control.
Author(s): Dan Zhang & Bin Wei
280 Pages
Technology, Electrical
Description
Book Synopsis
Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also introducing exciting cutting-edge technologies in the field of learning-based control. State-of-the-art techniques involving machine learning and artificial intelligence (AI) are covered, as are foundational control theories and more established techniques such as adaptive learning control, reinforcement learning control, impedance control, and deep reinforcement control. Each chapter includes case studies and real-world applications in robotics, AI, aircraft and other vehicles and complex dynamical systems. Computational methods for control systems, particularly those used for developing AI and other machine learning techniques, are also discussed at length.
Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .59 Inches (D)
Weight: .83 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 280
Genre: Technology
Sub-Genre: Electrical
Publisher: Elsevier
Format: Paperback
Author: Dan Zhang & Bin Wei
Language: English
Street Date: December 10, 2020
TCIN: 1009435376
UPC: 9780128223147
Item Number (DPCI): 247-56-1849
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.59 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.83 pounds
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