The development and acceptance of modeling and simulation tools in the design of large and complex dynamical systems require reliable simulation mechanisms under model and data uncertainty. Sensitivity analysis and uncertainty quantification (UQ) are recognized as critical elements in improving credibility and robustness in prediction of phenomena and behaviors associated with dynamical systems. Sensitivities to model parameters, model forms, as well as initial and boundary conditions, are essential in simulation result interpretation, model calibration, simulation-based optimization under uncertainty, model reduction, and reliability assessment.
This focus of this special issue is on recent advances in theoretical and computational aspects of sensitivity analysis and uncertainty quantification for system dynamics in multiple disciplines and phenomena, as well as their applications to optimize the performance of complex dynamic systems, such as those encountered in automotive, aerospace, civil, marine, micro-mechanical applications, industrial equipment and machinery, and various consumer products. Topics of interest include local and...
