📋 Tender Overview
Scalable Control Approximations For Resource Constrained Environments
Advancing Control And Decision-Making For Complex Processesthe Field Of Mixed-Integer Optimal Control (Mioc) Is Growing, But It Still Faces Unanswered Questions Due To Its Complexity And Inefficiencies. The Erc-Funded Scarce Project Aims To Enhance Optimal Control And Decision-Making For Dynamic Nonlinear Processes Occurring On Network Structures. It Delves Into Complex Themes Such As Decomposition, Relaxation, Approximation, Homogenisation, Limiting Processes, And Weak Topologies. Its Goal Is To Discover Efficient Methods For Estimating Direct Costs, Developing Nonlinear Solvers, And Creating Decision Policies Capable Of Handling Uncertainty In Critical Control Tasks With Societal Impact. Scarce Aims To Introduce New Theories, Develop Numerical Approximation Methods, Implement Algorithms In Software, And Conduct Proof-Of-Concept Studies. The Applications Of This Research Extend To Various Fields, Including Energy Networks, Logistics, Disease Spreading Dynamics, And Biomedicine.
Funded Under
European Research Council (Erc)
Total Cost
€ 1 998 500,00
Eu Contribution
€ 1 998 500,00
Coordinated By
Technische Universitaet Braunschweig
Germany
