SC069A

Submit Paper » Background This Special Collection (SC) aims to gather contributions to advance the state-of-the-art methods and applications of uncertainty propagation in high-dimensional stochastic systems. Effective uncertainty propagation is critical for rational decision-making, risk assessment, and optimization of engineering systems. Particularly, high-dimensional stochastic systems represent a significant class of problems encountered in various domains. Nevertheless, uncertainty propagation in high-dimensional settings poses significant challenges due to the “curse of dimensionality”. Traditional methods often become computationally prohibitive. Consequently, there is a growing need for advanced techniques to handle the complexity of high-dimensional systems accurately and efficiently. This SC focuses on efficient analytical, data-driven, and computational methods for uncertainty propagation, novel control techniques for stochastic systems, and advanced optimization approaches. Grounded in solid theory, these methods aim for real-world applications, bridging the gap between theory and practice with practical solutions in aerospace, civil engineering, energy systems, and environmental modeling. ...