Efficient Computational Methods for Worst-Case Analysis and Optimal Control of Nonlinear Dynamical Systems
Grant number: DP120101549 | Funding period: 2012 - 2017
Completed
Abstract
Natural and technological systems can exhibit extremely complicated behaviour in worst-case scenarios. This project will develop efficient mathematical and computational tools that will enable this behaviour to be understood and controlled.