Alexander Weber

Orcid: 0000-0002-4708-7583

Affiliations:
  • University of the Federal Armed Forces Munich, Department Aerospace Engineering, Germany


According to our database1, Alexander Weber authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Spontaneous State Constraint Insertions to Operating Symbolic Controllers Combined with Runtime Assurance for Task Allocation in UAV Missions.
Proceedings of the European Control Conference, 2024

2023
FORFIS: A forest fire firefighting simulation tool for education and research.
CoRR, 2023

Symbolic control applied to miniature quadcopter mission guidance.
Proceedings of the European Control Conference, 2023

2022
ABS: A formally correct software tool for space-efficient symbolic synthesis.
Proceedings of the HSCC '22: 25th ACM International Conference on Hybrid Systems: Computation and Control, Milan, Italy, May 4, 2022

Vehicle mission guidance by symbolic optimal control.
Proceedings of the European Control Conference, 2022

2021
On the Solution of the Travelling Salesman Problem for Nonlinear Salesman Dynamics using Symbolic Optimal Control.
Proceedings of the 2021 European Control Conference, 2021

2020
A generalized Bellman-Ford Algorithm for Application in Symbolic Optimal Control.
Proceedings of the 18th European Control Conference, 2020

Approximately Optimal Controllers for Quantitative Two-Phase Reach-Avoid Problems on Nonlinear Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2017
Optimized State Space Grids for Abstractions.
IEEE Trans. Autom. Control., 2017

Feedback Refinement Relations for the Synthesis of Symbolic Controllers.
IEEE Trans. Autom. Control., 2017

2015
State space grids for low complexity abstractions.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Classical and Strong Convexity of Sublevel Sets and Application to Attainable Sets of Nonlinear Systems.
SIAM J. Control. Optim., 2014

A linear time algorithm to verify strong structural controllability.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Strongly convex attainable sets and low complexity finite-state controllers.
Proceedings of the 2013 Australian Control Conference, Fremantle, WA, 2013


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