Shulph Ink
Learning Control: Applications in Robotics and Complex Dynamical Systems
Learning Control: Applications in Robotics and Complex Dynamical Systems
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Learning Control: Applications in Robotics and Complex Dynamical Systems provides an introduction to control theory and cutting-edge technologies,including machine learning and AI,for real-world applications in robotics,AI,aircraft,and complex dynamical systems.
Format: Paperback / softback
Length: 280 pages
Publication date: 10 December 2020
Publisher: Elsevier Science Publishing Co Inc
Learning Control: Applications in Robotics and Complex Dynamical Systems is a comprehensive and cutting-edge textbook that delves into the realm of control theory and its applications in the field of robotics and complex dynamical systems. It offers a foundational understanding of control theory while introducing exciting and groundbreaking technologies in the area of learning-based control. The book covers state-of-the-art techniques involving machine learning and artificial intelligence (AI), providing readers with a deep understanding of these powerful tools. Additionally, it explores foundational control theories and more established techniques such as adaptive learning control, reinforcement learning control, impedance control, and deep reinforcement control. Each chapter is accompanied by case studies and real-world applications in robotics, AI, aircraft, and other vehicles, as well as complex dynamical systems. Furthermore, the book discusses computational methods for control systems, particularly those used in developing AI and other machine learning techniques. By providing a comprehensive and interdisciplinary approach, Learning Control: Applications in Robotics and Complex Dynamical Systems is an invaluable resource for students, researchers, and professionals in the fields of robotics, control systems, and artificial intelligence.
Learning Control: Applications in Robotics and Complex Dynamical Systems is a comprehensive and cutting-edge textbook that delves into the realm of control theory and its applications in the field of robotics and complex dynamical systems.
It offers a foundational understanding of control theory while introducing exciting and groundbreaking technologies in the area of learning-based control.
The book covers state-of-the-art techniques involving machine learning and artificial intelligence (AI), providing readers with a deep understanding of these powerful tools.
Additionally, it explores foundational control theories and more established techniques such as adaptive learning control, reinforcement learning control, impedance control, and deep reinforcement control.
Each chapter is accompanied by case studies and real-world applications in robotics, AI, aircraft, and other vehicles, as well as complex dynamical systems.
Furthermore, the book discusses computational methods for control systems, particularly those used in developing AI and other machine learning techniques.
By providing a comprehensive and interdisciplinary approach, Learning Control: Applications in Robotics and Complex Dynamical Systems is an invaluable resource for students, researchers, and professionals in the fields of robotics, control systems, and artificial intelligence.
Weight: 452g
Dimension: 229 x 154 x 20 (mm)
ISBN-13: 9780128223147
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