Special Issue on Methods for Automatic Generation of Nonlinear Models and Their Solution

Journal of Computational and Nonlinear Dynamics

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Nonlinearities and uncertainties are inherent in many real-world applications, introducing significant challenges in the modeling, analysis, and prediction of dynamic system behavior. These complexities arise from factors such as material properties, external disturbances, geometric nonlinearities, and unmodeled dynamics, making accurate representation and solution of such systems particularly difficult. Developing robust modeling frameworks and efficient computational techniques is essential for capturing the complex behaviors of nonlinear dynamic systems and ensuring reliable performance predictions.

The goal of this special issue is to present recent advances and emerging developments in modeling strategies for dynamic systems with uncertain nonlinearities. This includes systems with unknown types of nonlinearities as well as those with an uncertain degree of known nonlinearities. Additionally, the special issue highlights analytical and numerical methods for solving these complex problems. This issue covers a broad spectrum of nonlinear problems across various domains, including mechanical, aerospace, electrical, microelectromechanical, physical, biological, structural, and other engineering systems.

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Topic Areas

THE SCOPE OF THIS ISSUE INCLUDES BUT IS NOT LIMITED TO: