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Trends and Prospects in Vehicle System Dynamics, 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 30 August 2026 | Viewed by 339

Special Issue Editors


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Guest Editor
Department of Electrical Engineering, Linköping University, S-581 83 Linköping, Sweden
Interests: vehicle dynamics; vehicle control; automotive control; sustainable transportation; tire modeling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechanical Engineering, University of California, Merced, CA 95343, USA
Interests: vehicle dynamics; vehicle control; electric vehicles; hybrid-electric vehicles; autonomous driving
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Integrated solutions are required to address the challenges that the automotive sector is facing concerning implementing partial and full-automated driving, in conjunction with the impellent need for electrification. To this end, vehicle-to-vehicle interaction and new generations of sensors and control strategies, including AI-based algorithms, should be explicitly considered. This Special Issue focuses on emerging technologies and approaches that will support the current trends and prospects in vehicle dynamics. Aspects of interest may include, but are not limited to, the following: novel modeling approaches for vehicular systems and subsystems, with an emphasis on handling and energy-efficiency applications; innovative control/estimation strategies for individual components, vehicles, and fleets; modeling and control of vehicle-to-vehicle interaction, based on future urban and extra-urban mobility scenarios; model-based and model-free path planning, force allocation strategies, and online energy optimization; and the development and integration of novel sensors and devices supporting functionalities of vehicle dynamics. 

Dr. Luigi Romano
Dr. Basilio Lenzo
Dr. Ricardo De Castro
Guest Editors

Manuscript Submission Information

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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

  • vehicle modeling
  • vehicle dynamics
  • vehicle control
  • vehicle-to-vehicle interaction
  • fleet management
  • path planning
  • force allocation
  • energy optimization
  • next-generation vehicle sensors
  • AI-based vehicle control

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Published Papers (1 paper)

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Research

20 pages, 2477 KB  
Article
Robust Output-Feedback Fuzzy Control for Autonomous Bus–Trailers with Input and Output Constraints
by Rae-Cheong Kang, Woo-Jin Ahn, Yong-Jun Lee and Myo-Taeg Lim
Appl. Sci. 2026, 16(5), 2238; https://doi.org/10.3390/app16052238 - 26 Feb 2026
Viewed by 184
Abstract
This paper presents a robust output-feedback fuzzy control scheme for autonomous bus–trailer systems, which can be formulated as a multi-input multi-output system. To ensure driving safety, the proposed design explicitly accounts for both input and output constraints. A core feature of this approach [...] Read more.
This paper presents a robust output-feedback fuzzy control scheme for autonomous bus–trailer systems, which can be formulated as a multi-input multi-output system. To ensure driving safety, the proposed design explicitly accounts for both input and output constraints. A core feature of this approach is the utilization of exponential dissipativity, which not only attenuates external disturbances but also serves as a unified framework encompassing exponential passivity and H performance through the adjustment of weighting matrices. Additionally, a tunable decay rate is introduced to improve transient response characteristics. Recognizing that full state information is rarely available in practical scenarios, an observer is integrated to estimate unmeasurable state variables. Finally, the effectiveness and feasibility of the proposed control scheme are validated under various driving conditions through Simulink/dSPACE co-simulation. Full article
(This article belongs to the Special Issue Trends and Prospects in Vehicle System Dynamics, 2nd Edition)
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