Distributed Control for Robotics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 11389
Special Issue Editors
2. Interdisciplinary Research Center (lRC) for Renewable Energy and Power Systems, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
Interests: system identification; control systems; renewable and sustainable energy; optimization; artificial intelligence
Interests: system identification; control systems; machine learning and artificial intelligence; optimization; nonlinear control systems; control system for biomedical applications
Special Issue Information
Dear Colleagues,
Humans have already attempted to simplify the work from ancient times by exploiting the mechanisms and machines assisting them. One of these machines is the industrial robot. The robot has to be equipped with the orientation mechanism, the positioning mechanism, the industrial sensors, the power drives, and the control system. The control system has all required information as one's tasks drive all motion robots and process.
Several control applications are, by nature, distributed over different processes as well as over several processors. Accomplishing such a system concerning the startup of processes, internal communications, and state changes instantly becomes complex. The architecture is primarily intended for robot control but has a wide range of potential applications.
The primary purpose of this Special Issue is to focus on the recent developments of distributed control for robotics and related applications by providing a multidisciplinary forum of discussion among scientists who have been interested in exploring such applications in different branches of engineering. We also invite expository and review papers by senior researchers to elucidate finer points or highlight techniques of broad interest.
Potential topics include but are not limited to the following:
- Distributed control;
- Industrial automation;
- Industrial control;
- System identification and state estimation;
- Robot control and robotics;
- Mathematical approach to motion coordination algorithm;
- Robotic network with relative sensing;
- Robotic network models;
- Medical robotic network and control;
- Distributed control and Internet of Things
Dr. Mujahed Al-Dhaifallah
Dr. Ibrahim Aljamaan
Guest Editors
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