Engine Control Theory and System Modelling
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Automation Control Systems".
Deadline for manuscript submissions: 25 April 2026 | Viewed by 34
Special Issue Editors
Interests: measuring and testing techniques; modeling and control technology
Interests: intelligent control methods; virtual simulation and testing
Special Issue Information
Dear Colleagues,
Engine systems, as the core power sources in automotive, aerospace, marine, and energy sectors, play a pivotal role in driving industrial development and societal progress. Engine control theory and system modeling serve as the foundational pillars for optimizing engine performance, enhancing energy efficiency, reducing emissions, and ensuring operational reliability. With the global emphasis on carbon neutrality, energy conservation, and intelligent manufacturing, traditional engine control strategies and modeling methods are facing unprecedented challenges—they must integrate advanced theories, such as intelligent control, multi-domain coupling analysis, and digital twins, to adapt to the evolving demands of high efficiency, low emissions, and smart operation.
This Special Issue aims to showcase state-of-the-art research and recent advances in engine control theory and system modeling. We welcome original research papers, short communications, and review articles that explore innovative theories, cutting-edge technologies, and practical applications in this field. By bringing together these contributions, we aim to promote the advancement of scientific theories and engineering methodologies, thereby fostering the widespread adoption of advanced engine control and modeling technologies in automotive engineering, aerospace propulsion, energy systems, and related industries.
This Special Issue warmly invites submissions related to, but not limited to, the following domains:
- Dynamic modeling and simulation of internal combustion engines, gas turbines, and new energy engines;
- Advanced control strategies (adaptive control, robust control, model predictive control, etc.) for engine systems;
- Multi-physics coupling modeling (thermodynamics, fluid dynamics, mechanics) in engine operation;
- Emission control and optimization of engine systems;
- Fault diagnosis, prognosis, and fault-tolerant control for engine systems;
- Integrated control of hybrid powertrains and engine–energy storage systems;
- Digital twin and virtual testing for engine control and modeling;
- Control and modeling of novel energy engines (e.g., hydrogen-fueled engines, hybrid engines, and fuel cell hybrid systems).
We look forward to receiving your submissions and are excited about the valuable insights this Special Issue will bring to the scientific and engineering community.
Prof. Dr. Bing Yu
Dr. Zhonglin Lin
Dr. Xuanpeng Li
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. Processes 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
- engine control
- system modeling
- adaptive control
- robust control
- model predictive control
- digital twin
- fault diagnosis
- emission optimization
- multi-physics coupling
- virtual testing
- measuring and testing techniques
- instrumentation engineering
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