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Full Description
This book delves into dynamic modeling, control strategies, and theoretical foundations of underactuated robotic systems. Designed for robotics researchers, graduate students, and professionals, it guides them to: understand fundamental principles governing underactuated systems and their nonlinear dynamics, and use cutting-edge control techniques, such as feedback linearization, sliding mode control, energy-based methods, and machine learning integration. Focusing on practical applications and making use of case studies and simulation exercises to solidify understanding, this book equips readers with the necessary tools needed to address real-world robotics challenges.
Contents
Chapter 1 Background on Underactuated Manipulators.- Chapter 2 Modeling of Underactuated Manipulators.- Chapter 3 Nonlinear Computed Torque.- Chapter 4 Linear Quadratic Regulators.- Chapter 5 Hierarchical Sliding Mode Control.- Chapter 6 Advanced Sliding Mode Control.- Chapter 7 Fuzzy Type I Hierarchical Sliding Mode Control.- Chapter 8 Interval Type 2 Fuzzy Hierarchical Sliding Mode Control.- Chapter 9 Hedge-Algebras Control.- Chapter 10 Sliding Mode Control Using RBF Networks.



