On the Parameterized Computation of Minimum Volume Outer Ellipsoid of Minkowski Sum of Ellipsoids
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Abstract (arXiv)
We consider the problem of computing certain parameterized minimum volume outer ellipsoidal (MVOE) approximation of the Minkowski sum of a finite number of ellipsoids. We clarify connections among several parameterizations available in the literature, obtain novel analysis results regarding the conditions of optimality, and based on the same, propose two new algorithms for computing the parameterized MVOE. Numerical results reveal faster runtime for the proposed algorithms than the state-of-the-art semidefinite programming approach of computing the same.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Mar 2018.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1; 2025: 1; 2026: 1.
4 papers.
- 2024Distance and Collision Probability Estimation from Gaussian Surface Modelscited by 3
- 2026Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamicscited by 1
- 2022Convex and Nonconvex Sublinear Regression with Application to Data-driven Learning of Reach Setscited by 0
- 2025Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllerscited by 0
- 2026Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics29 Apr 2026
- 2025Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers11 Apr 2025
- 2024Distance and Collision Probability Estimation from Gaussian Surface Models31 Jan 2024
- 2022Convex and Nonconvex Sublinear Regression with Application to Data-driven Learning of Reach Sets4 Oct 2022