Symmetry in Nonlinear Dynamics
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Engineering and Materials".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 63
Special Issue Editors
Interests: nonlinear dynamics; vibration control; energy harvesting
Special Issues, Collections and Topics in MDPI journals
Interests: smart materials and structures; energy harvesting; simultaneous vibration suppression and energy harvesting; nonlinear dynamics and control
Special Issues, Collections and Topics in MDPI journals
Interests: elastic metamaterials; energy harvesting; vibration suppression; optimization; artificial neural network
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nonlinear dynamical phenomena are prevalent in mechanical, civil, aerospace, and other engineering fields, giving rise to complex and intriguing dynamic occurrences, such as bifurcation, chaos, and super-/sub-harmonic resonances. While engineering nonlinear dynamics may lead to unfavorable consequences, they can also occasionally bring about beneficial effects that linear dynamical systems can never achieve. Additionally, there are many symmetry, mathematics theory, and algorithm issues in nonlinear dynamics. Thus, there is a pressing need for extensive research to be carried out regarding symmetry in nonlinear dynamical problems.
Dr. Chaoran Liu
Dr. Shitong Fang
Prof. Dr. Guobiao Hu
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. Symmetry 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 2400 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 Dynamics
- Dynamical System
- Symmetry
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Design and Control of Dual-Body Negative Pressure Ground-Wall Transition Robot
Authors: Huan, Shen, Qingfei, Han, Xuefei, Liu, Yi, Sun, Youzhi, Xu
Affiliation: Lab of Locomotion Bioinspiration and Intelligent Robots, the College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Abstract: This paper presents a novel dual-body negative pressure ground-wall transition robot (DNPTR) aimed at expanding the application scenarios of climbing robots to meet the functional requirements of obstacle traversal and wall transition in high-altitude operations. As a typical representative of highly nonlinear and multivariable strongly coupled systems, the wall transition actions of the DNPTR are analyzed and planned based on the mechanical structure characteristics. Subsequently, unified kinematic and dynamic models of the bipedal negative-pressure climbing robot are established. To enhance the automation level of climbing robots and achieve safe and efficient operations, research on trajectory tracking control of DNPTR is essential. To address issues such as model parameter uncertainties and external disturbances in robot control, a radial basis function neural network (RBFNN) based non-singular terminal sliding mode adaptive trajectory tracking control method is designed by combining the boundary layer with improved exponential reaching law. The global asymptotic stability of the control system is demonstrated using Lyapunov theory, and simulation and experimental results validate the method's capability for faster convergence and suppression of system oscillations in trajectory tracking for the DNPTR. This research holds significant practical significance for guiding the design of trajectory tracking controllers with high control accuracy and robustness for dual-body climbing robots.
