Trends in Nonlinear Dynamic System Modeling
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C2: Dynamical Systems".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 1
Special Issue Editor
Interests: applied control engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite high-quality contributions to a forthcoming Special Issue entitled “Trends in Nonlinear Dynamic System Modeling”, to be published in the journal Mathematics. This Special Issue aims to highlight recent developments in data-driven methodologies, including machine learning and system identification techniques, applied to nonlinear and high-dimensional multiple-input multiple-output (MIMO) dynamic systems.
Scope and Topics of Interest
This Special Issue seeks innovative theoretical, computational, and application-oriented research that addresses challenges in modeling complex nonlinear systems using modern data-driven approaches. Topics include, but are not limited to, the following:
- Data-driven modeling of nonlinear MIMO systems;
- Physics-informed machine learning for dynamic systems;
- Sparse and interpretable model discovery (e.g., SINDy, Koopman analysis);
- System identification under uncertainty or noise;
- Hybrid modeling (first-principles + data);
- Black-box and gray-box neural models (e.g., RNNs, LSTMs, transformers);
- Online and adaptive learning in dynamic systems;
- Benchmarking and case studies in control, robotics, energy, and biomedical systems;
- Applications in complex, real-world MIMO systems.
Prof. Dr. Ismael Minchala
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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 dynamic systems
- data-driven modeling
- MIMO systems
- system identification
- machine learning for control
- black-box modeling
- gray-box modeling
- neural network-based modeling
- physics-informed learning
- sparse system discovery
- koopman operator theory
- dynamic system learning
- recurrent neural networks (RNNs)
- model predictive control (MPC)
- state-space modeling
- time-series prediction
- adaptive modeling
- hybrid modeling approaches
- control-oriented modeling
- deep learning for systems
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