Identification and Structural Dynamics in Nonlinear System
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: 20 October 2026 | Viewed by 223
Editor
2. GAMF Faculty of Engineering and Computer Science, John von Neumann University, Kecskemet, Hungary
Interests: nonlinear vibrations; dynamic of systems with variable mass; dynamics of systems with singularity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nonlinear dynamical systems arise in many areas of science and engineering, including mechanical structures, smart materials, robotics, aerospace systems, and energy devices. In contrast to linear systems, nonlinear systems exhibit complex behaviors such as amplitude-dependent frequencies, bifurcations, instabilities, and singular responses. Accurate identification of system parameters and structural properties is therefore essential for understanding, predicting, and controlling their dynamic behavior.
Recent advances in sensing technologies, data processing, and computational methods have significantly improved the ability to identify nonlinear dynamic characteristics from experimental or simulated data. At the same time, modern structures—such as composite and metamaterial systems—often possess configuration-dependent inertia, nonlinear stiffness, and adaptive properties that require new modeling and identification approaches. These developments create strong links between mechanical engineering, applied mathematics, and data-driven methods, including machine learning and artificial intelligence.
This Special Issue aims to highlight recent progress in the identification, modeling, and analysis of nonlinear structural dynamics. Contributions addressing analytical, numerical, and data-driven approaches are welcome, particularly those that improve understanding of complex nonlinear phenomena and support the design, monitoring, and control of advanced engineering systems. Topics may include nonlinear system identification, parameter estimation, dynamic stability and bifurcation analysis, vibration control, and applications in modern mechanical and multidisciplinary engineering systems.
Prof. Dr. Lívija Cveticanin
Guest Editor
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Keywords
- nonlinear dynamics
- system identification
- structural dynamics
- nonlinear oscillators
- bifurcation and stability
- vibration analysis
- smart and metamaterial structures
- data-driven modeling
- machine learning in dynamics
- parameter estimation
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