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This work describes nonlinear control design solutions for problems that arise from robots required to interact with and manipulate their environments. The authors use Lyapunov's direct method as an effective tool to design and analyze controllers for robotic systems and include numerous examples that illustrate how this method addresses advanced robotics research problems. After providing a historical perspective of robotics and a review of standard robot control approaches, the book presents real-time computing and experimental test beds for implementing developed controllers. It also explores sensor-based feedback path planning, navigation, and control.
Describes nonlinear control design solutions for problems that arise from robots required to interact with and manipulate their environments. Providing a historical perspective of robotics and a review of standard robot control approaches, this book presents real-time computing and experimental test beds for implementing developed controllers.
This practical yet rigorous book provides a development of nonlinear, Lyapunov-based tools and their use in the solution of control-theoretic problems. Rich in motivating examples and new design techniques, the text balances theoretical foundations and real-world implementation.
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