New Adaptive and Learning Control System Design for Robotic Manipulators
A special issue of Machines (ISSN 2075-1702).
Deadline for manuscript submissions: closed (30 April 2018) | Viewed by 5854
Special Issue Editors
Interests: robotics and mechatronics; high-performance parallel robotic machine development; sustainable/green manufacturing systems; micro/nanomanipulation and MEMS devices (sensors); micro mobile robots and control of multi-robot cooperation; intelligent servo control system for the MEMS-based high-performance micro-robot; web-based remote manipulation; rehabilitation robot and rescue robot
Special Issues, Collections and Topics in MDPI journals
Interests: robotics and mechatronics; adaptive control and learning control; advanced manufacturing and automaton; rehabilitation robots and rescue robots; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Adaptive control for robotic manipulators have been developed in the last decade, and learning control design is still in its early development stages. Control system design is a critical step for robotic manipulator systems and their later development and applications. This Special Issue aims to bring researchers together to present the recent and latest advances and technologies in the field of adaptive and learning control system design for robotic manipulators in order to further summarize and improve the methodologies on this topic. Suitable topics include, but are not limited to, the following:
- Adaptive control design for robotics
- Model reference adaptive control design
- Learning control design for robotics
- Intelligent control system development for robotics
- Advanced control system design for manufacturing
- This call invites both theoretical and empirical studies on this topic.
Prof. Dr. Dan Zhang
Dr. Bin Wei
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- Adaptive control
- Learning control
- Robotic manipulators
- Stability
- Intelligent control
- Mechatronics.
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