Robot Adaptive and Robust Control
Journal of Intelligent and Robotic Systems
Fuzzy and Recurrent Neural Network Motion Control among Dynamic Obstacles for Robot Manipulators
Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems
2-D Shape Recognition using Recursive Landmark Determination and Fuzzy ART Network Learning
Neural Processing Letters
Neural sliding mode control with finite time convergence
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A polynomial family of PD-type Cartesian controllers
International Journal of Robotics and Automation
Robust Fuzzy Control of Electrical Manipulators
Journal of Intelligent and Robotic Systems
Nonlinear control of a robot manipulator with time-varying uncertainties
ICSR'10 Proceedings of the Second international conference on Social robotics
An experimental comparison of model-free control methods in a nonlinear manipulator
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part I
Modeling and robust discrete LQ repetitive control of electrically driven robots
International Journal of Automation and Computing
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From the Publisher:Bringing together the latest research in the field, Robust Tracking Control of Robot Manipulators is the first book to provide systematic methods for stabilizing unwanted flexible, uncertain, and unmodeled dynamics. The authors present a thorough comparison of state-of-the-art and classical designs of all controls: linear or nonlinear (simple or complicated), conventional or robust, adaptive or learning. Focusing on control design and performance analysis, this book will help you to apply advanced controls effectively and to establish equivalent and different robustness. This book will be invaluable as a guide to researchers and practicing engineers in the field of robot control, automation, and robotic engineering. It will also serve as a useful reference for control of robot manipulators and mechanical-electrical systems.