Special Issue "Adaptive and Learning Control for Complex Dynamical Systems and Robotics"

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: 31 July 2020.

Special Issue Editors

Dr. Bin Wei
Website
Guest Editor
Assistant Professor Department of Computer Science, Algoma University, Sault Ste Marie, ON, Canada
Interests: robotics, control theory, control of complex dynamical systems, human-robot interaction
Dr. Tansel Yucelen
Website
Guest Editor
Assistant Professor Department of Mechanical Engineering; Lab. for Autonomy, Control, Information, and Systems; Director Univ. of South Florida, Tampa, Florida 33620, USA
Interests: dynamical systems and control, adaptive control and learning algorithms, analysis and synthesis of control algorithms for complex dynamical systems, robotics

Special Issue Information

Dear Colleagues,

Adaptive control for robotics has been developed in the last decade, and learning control design is still in its early stages. The development of control system design is a critical step in the development of complex dynamical systems and robotics. This Special Issue aims to bring researchers together to present the latest advances and technologies in the field of adaptive and learning control for complex dynamical systems and robotics in order to further summarise and improve the methodologies in this field. Suitable topics include but are not limited to the following:

  • Adaptive control for robotics;
  • Learning control for robotics;
  • Intelligent control system for human–robot interactions;
  • Nonlinear control of complex dynamical systems;
  • Control stability.

This call invites both theoretical and empirical studies on these topics.

Dr. Bin Wei
Dr. Tansel Yucelen
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 papers will be 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. Robotics is an international peer-reviewed open access quarterly 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 1000 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

  • Adaptive control
  • Learning control
  • Robotics
  • Human–robot interactions
  • Complex dynamical systems

Published Papers (1 paper)

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Research

Open AccessArticle
Experimental Testing of Bandstop Wave Filter to Mitigate Wave Reflections in Bilateral Teleoperation
Robotics 2020, 9(2), 24; https://doi.org/10.3390/robotics9020024 - 11 Apr 2020
Abstract
A bilateral teleoperation system can become unstable in the presence of a modest time delay. However, the wave variable algorithm provides stable operation for any fixed time delay using passivity arguments. Unfortunately, the wave variable method produces wave reflection that can degrade teleoperation [...] Read more.
A bilateral teleoperation system can become unstable in the presence of a modest time delay. However, the wave variable algorithm provides stable operation for any fixed time delay using passivity arguments. Unfortunately, the wave variable method produces wave reflection that can degrade teleoperation performance when a mismatched impedance exists between the master and slave robot. In this work, we develop a novel bandstop wave filter and experimentally verify that the technique can mitigate the effects of wave reflections in bilaterally teleoperated systems. We apply the bandstop wave filter in the wave domain and filtered the wave signal along the communication channel. We placed the bandstop wave filter in the master-to-slave robot path to alleviate lower frequency components of the reflected signal. With the lower frequency components reduced, wave reflections that degrade teleoperation performance were mitigated and we obtained a better transient response from the system. Results from our experiment show that the bandstop wave filter performed better by 67% when compared to the shaping wave filter respectively. Full article
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