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.

Related publications (16)

University of Melbourne Researchers