Adaptive and Nonlinear Control of Robotics

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Sensors and Control in Robotics".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 868

Special Issue Editor


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Guest Editor
Department of Electrical and Computer Engineering and the NanoScience Technology Center, University of Central Florida, Orlando, FL 32816, USA
Interests: assistive robotics; human–robot interaction; nonlinear control theory and applications
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Special Issue Information

Dear Colleagues,

Mathematically speaking, robot dynamics are represented by systems of highly coupled nonlinear differential equations. While these dynamics can be linearized under restrictive assumptions of exact or partial model knowledge, most practical robot control designs end up with nonlinear closed-loop dynamics. Adaptive control, which includes neural network/learning-based control designs, particularly necessitates the application of nonlinear control systems analysis techniques. In this Special Issue, we would like to focus on emerging techniques in the adaptive and nonlinear control of robotics, as they apply to novel control problems and state-of-the-art robot configurations/designs.               

Prof. Dr. Aman Behal
Guest Editor

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. Robotics is an international peer-reviewed open access monthly 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 1800 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

  • nonlinear control
  • direct adaptive control
  • indirect adaptive control
  • Lyapunov-based control
  • output feedback control
  • partial-state feedback control
  • full-state feedback control
  • learning-based control

Published Papers (1 paper)

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Research

26 pages, 20338 KiB  
Article
Robust Adaptive-Sliding-Mode Control for Teleoperation Systems with Time-Varying Delays and Uncertainties
by Yeong-Hwa Chang, Cheng-Yuan Yang and Hung-Wei Lin
Robotics 2024, 13(6), 89; https://doi.org/10.3390/robotics13060089 - 13 Jun 2024
Viewed by 564
Abstract
Master–slave teleoperation systems with haptic feedback enable human operators to interact with objects or perform tasks in remote environments. This paper presents a sliding-mode control scheme tailored for bilateral teleoperation systems operating in the presence of unknown uncertainties and time-varying delays. To address [...] Read more.
Master–slave teleoperation systems with haptic feedback enable human operators to interact with objects or perform tasks in remote environments. This paper presents a sliding-mode control scheme tailored for bilateral teleoperation systems operating in the presence of unknown uncertainties and time-varying delays. To address unknown but bounded uncertainties, adaptive laws are derived alongside controller design. Additionally, a linear matrix inequality is solved to determine the allowable bound of delays. Stability of the closed-loop system is ensured through Lyapunov–Krasovskii functional analysis. Two-degree-of-freedom mechanisms are self-built as haptic devices. Free-motion and force-perception scenarios are examined, with experimental results validating and comparing performances. The proposed adaptive-sliding-control method increases the position performance from 58.48% to 82.55% and the force performance from 83.48% to 99.77%. The proposed control scheme demonstrates enhanced position tracking and force perception in bilateral teleoperation systems. Full article
(This article belongs to the Special Issue Adaptive and Nonlinear Control of Robotics)
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