Häftad, Engelska, 2020
Learning Control
Applications in Robotics and Complex Dynamical Systems
2008 kr
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Beskrivning
- Provides foundational control theory concepts, along with advanced techniques and the latest advances in adaptive control and robotics
- Introduces state-of-the-art learning-based control technologies and their applications in robotics and other complex dynamical systems
- Demonstrates computational techniques for control systems
- Covers iterative learning impedance control in both human-robot interaction and collaborative robots
Produktinformation
- Utgivningsdatum: 2020-12-10
- Mått: 152 x 229 x 20 mm
- Vikt: 520 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 280
- Förlag: Elsevier Science
- ISBN: 9780128223147
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Mer om författaren
Dan Zhang is a Kaneff Professor and Tier 1 York Research Chair in Advanced Robotics and Mechatronics in the Department of Mechanical Engineering of the Lassonde School of Engineering at York University, Toronoto, Canada. Previously he was Professor and Canada Research Chair in Advanced Robotics and Automation, and he was a founding Chair of the Department of Automotive, Mechanical, and Manufacturing Engineering with the Faculty of Engineering and Applied Science at University of Ontario Institute of Technology. He is editor-in-chief for International Journal of Robotics Applications and Technologies, Associate editor for the International Journal of Robotics and Automation (ACTA publisher), and guest editor on four other international journals. He is the editor of 6 books related to mechatronics and robotics. Bin Wei is an Assistant Professor at Algoma University, Ontario, Canada. He received his Ph.D. in robotics from University of Ontario Institute of Technology, Canada, in 2016. He conducts research in the areas of robotics, control theory, and computational mechanics. He has co-edited 5 books on robotic mechanics.
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