Data-Driven Adaptive Intelligent Control of Rigid–Flexible Coupled Robotic Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 9 August 2024 | Viewed by 1103
Special Issue Editors
Interests: robotics; control systems; theory and applications of hybrid systems; visual servo control; observation design
Special Issues, Collections and Topics in MDPI journals
Interests: soft robotics; observability normal form of nonlinear systems; nonlinear observer; control of nonlinear system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the advantages of noteworthy dexterity, maneuverability, and high efficiency to perform a growing variety of tasks, rigid–flexible coupled robotic systems (RFCRSs) have gradually replaced humans in some work environments that require tedious and dangerous tasks, especially occupying an essential position in rehabilitation medicine, exoskeleton robots, aerospace, industrial robots, intelligent manufacturing, and other fields. However, the light weight may result in elastic deformation and vibration as a consequence of the low rigidity, and this vibration degrades the tracking precision of the RFCRS. Confronted with complex objectives, including tracking the desired trajectory, suppressing the vibrations, handling input constraints, stabilizing the closed-loop system, and rejecting the spatiotemporally varying disturbance, it becomes necessary and very significant to investigate the dynamic model and the implementation of hybrid force/position control. Recently, data- and reference-model-driven adaptive intelligent control have been proposed and achieved good development, which provides the possibility for the vibration and tracking control of RFCRS.
In this Special Issue, we invite original reviews and research papers addressing the data- driven adaptive intelligent control of RFCRSs, such as flexible exoskeletons, collaborative soft robots, flexible robotic manipulators, SEA manipulators, etc.
Topics of interest include, but are not limited to, the following:
- Dynamic modeling of RFCRS with large-beam deformations;
- Observation of nonlinear uncertainties in RFCRS;
- Adaptive intelligent control of RFCRS with various typical input constraints;
- Data-driven adaptive hybrid force/position control of RFCRS.
Prof. Dr. Haoping Wang
Dr. Gang Zheng
Guest Editors
Manuscript Submission Information
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Keywords
- dynamic modeling
- flexible robotics
- vibration suppression
- adaptive intelligent control
- tracking control
