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: closed (9 August 2024) | Viewed by 1994
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- dynamic modeling
- flexible robotics
- vibration suppression
- adaptive intelligent control
- tracking control
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
