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Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic
  Dynamical Models with Epistemic Uncertainty

Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty

12 October 2022
Thom S. Badings
Licio Romao
Alessandro Abate
N. Jansen
ArXivPDFHTML

Papers citing "Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty"

5 / 5 papers shown
Title
Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal
  Abstractions
Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions
Thom S. Badings
Licio Romao
Alessandro Abate
David Parker
Hasan A. Poonawala
Marielle Stoelinga
N. Jansen
26
36
0
04 Jan 2023
Formal Controller Synthesis for Markov Jump Linear Systems with
  Uncertain Dynamics
Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics
Luke Rickard
Thom S. Badings
Licio Romao
Alessandro Abate
26
5
0
01 Dec 2022
Learning Control Policies for Stochastic Systems with Reach-avoid
  Guarantees
Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees
Dorde Zikelic
Mathias Lechner
T. Henzinger
K. Chatterjee
19
21
0
11 Oct 2022
Data-driven Abstractions with Probabilistic Guarantees for Linear PETC
  Systems
Data-driven Abstractions with Probabilistic Guarantees for Linear PETC Systems
Andrea Peruffo
M. Mazo
21
13
0
10 Mar 2022
Model Error Propagation via Learned Contraction Metrics for Safe
  Feedback Motion Planning of Unknown Systems
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems
Glen Chou
N. Ozay
Dmitry Berenson
24
25
0
18 Apr 2021
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