New Trends in Robot Control
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Beschreibung
This book presents solutions to control problems in a number of robotic systems and provides a wealth of worked-out examples with full analytical and numerical details, graphically illustrated to aid in reader comprehension. It also presents relevant studies on and applications of robotic system control approaches, as well as the latest findings from interdisciplinary theoretical studies. Featuring chapters on advanced control (fuzzy, neural, backstepping, sliding mode, adaptive, predictive, diagnosis, and fault-tolerant control), the book will equip readers to easily tailor the techniques to their own applications. Accordingly, it offers a valuable resource for researchers, engineers, and students in the field of robotic systems.
This book presents solutions to control problems in a number of robotic systems and provides a wealth of worked-out examples with full analytical and numerical details, graphically illustrated to aid in reader comprehension. It also presents relevant studies on and applications of robotic system control approaches, as well as the latest findings from interdisciplinary theoretical studies. Featuring chapters on advanced control (fuzzy, neural, backstepping, sliding mode, adaptive, predictive, diagnosis, and fault-tolerant control), the book will equip readers to easily tailor the techniques to their own applications. Accordingly, it offers a valuable resource for researchers, engineers, and students in the field of robotic systems.
Presents the applications of advanced control approaches in robotic systems Explores new problems concerning various categories of robotic systems Offers an excellent reference work for advanced undergraduate and graduate students alike
Autor*in
Jawhar Ghommam
Themen in »New Trends in Robot Control«
Robotic system Robot manipulator Wheeled Mobile Robot UAV-drones Continuous of Connected agents Consensus control Sliding mode control Adaptive control Predictive control Fuzzy control Diagnosis and fault tolerant control Robust control algorithmic complexity