Drawing on the authors' research, this book presents theoretical explorations of several fundamental problems for mobile robotic manipulators. By integrating fresh concepts and state-of-the-art results to form a systematic approach for kinematics dynamics, motion generation, feedback control, coordination, and cooperation, the book forms a basic theoretical framework for mobile robotic manipulators that extends the theory of nonlinear control and applies to more realistic problems. The authors propose novel control theory concepts and techniques to tackle important issues faced by researchers and engineers.…mehr
Drawing on the authors' research, this book presents theoretical explorations of several fundamental problems for mobile robotic manipulators. By integrating fresh concepts and state-of-the-art results to form a systematic approach for kinematics dynamics, motion generation, feedback control, coordination, and cooperation, the book forms a basic theoretical framework for mobile robotic manipulators that extends the theory of nonlinear control and applies to more realistic problems. The authors propose novel control theory concepts and techniques to tackle important issues faced by researchers and engineers.
Zhijun Li is a professor in the College of Automation Science and Engineering at the South China University of Technology. Dr. Li is an IEEE Senior Member. He is an editor of the Journal of Intelligent and Robotic Systems. His current research interests include adaptive/robust control, mobile manipulators, and nonholonomic systems. Shuzhi Sam Ge is a professor in the Department of Electrical and Computer Engineering and director of the Social Robotics Laboratory, Interactive Digital Media Institute, at the National University of Singapore, and director of the Robotics Institute at the University of Electronic Science and Technology of China in Chengdu. He has co-authored five books and published more than 300 international journal and conference papers. He has been an associate editor for IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Neural Networks, and is currently an associate editor for Automatica, as well as an editor for International Journal of Social Robotics, International Journal of Control, Automation & Systems, and the Taylor & Francis Automation and Control Engineering Series. His current research interests include social robotics, adaptive control, hybrid systems, and intelligent systems.
Inhaltsangabe
Introduction: Mobile Manipulator Systems. Background and Motivations. Outline of the Book. Kinematics and Dynamics: Introduction. Kinematics of Mobile Platform. Kinematics of Robotic Manipulators. Dynamics of Mobile Manipulators. Dynamics in Cartesian Space. Conclusion. Path Planning and Motion Generation: Path Planning of Mobile Manipulators. Path Planning of Coordinated Mobile Manipulators. Conclusion. Model-Based Control: Introduction. System Description. Model Reference Control. Simulation Studies. Conclusion. Adaptive Robust Hybrid Motion/Force Control: Adaptive Robust Hybrid Motion/Force Control. Adaptive Robust Output-feedback Control with Actuator Dynamics. Adaptive Robust Hybrid Position/Force Control. Conclusion. Under-actuated Control: Introduction. System Description. High-gain Observer. Adaptive Output Feedback Control. Simulation Studies. Conclusion. Coordination Control: Centralized Coordination Control. Decentralized Coordination. Conclusion. Cooperation Control: Introduction. Description of Interconnected System. Centralized Robust Adaptive Controls Design. Simulation Studies. Conclusion. Appendix: Example of 2-DOF Wheeled Mobile Manipulator. Example of 3-DOF Mobile Manipulator. Bibliography. Index.
Introduction: Mobile Manipulator Systems. Background and Motivations. Outline of the Book. Kinematics and Dynamics: Introduction. Kinematics of Mobile Platform. Kinematics of Robotic Manipulators. Dynamics of Mobile Manipulators. Dynamics in Cartesian Space. Conclusion. Path Planning and Motion Generation: Path Planning of Mobile Manipulators. Path Planning of Coordinated Mobile Manipulators. Conclusion. Model-Based Control: Introduction. System Description. Model Reference Control. Simulation Studies. Conclusion. Adaptive Robust Hybrid Motion/Force Control: Adaptive Robust Hybrid Motion/Force Control. Adaptive Robust Output-feedback Control with Actuator Dynamics. Adaptive Robust Hybrid Position/Force Control. Conclusion. Under-actuated Control: Introduction. System Description. High-gain Observer. Adaptive Output Feedback Control. Simulation Studies. Conclusion. Coordination Control: Centralized Coordination Control. Decentralized Coordination. Conclusion. Cooperation Control: Introduction. Description of Interconnected System. Centralized Robust Adaptive Controls Design. Simulation Studies. Conclusion. Appendix: Example of 2-DOF Wheeled Mobile Manipulator. Example of 3-DOF Mobile Manipulator. Bibliography. Index.
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