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๐Ÿ” e.paal ๐Ÿ“‚ Engineering
Showing 9 results for "e.paal" in Engineering
Engineering Preprint PDF DOI

Safe and Near-Optimal Gate Control: A Case Study from the Danish West Coast

Martin Kristjansen (Aalborg University), Kim Guldstrand Larsen (Aalborg University), Marius Mikucionis (Aalborg University), Christian Schilling (Aalborg University) ยท 2026

Ringkoebing Fjord is an inland water basin on the Danish west coast separated from the North Sea by a set of gates used to control the amount of water entering and leaving the fjord. Currently, human โ€ฆ

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Engineering Preprint PDF DOI

Modeling R$^3$ Needle Steering in Uppaal

Sascha Lehmann (TUHH), Antje Rogalla (TUHH), Maximilian Neidhardt (TUHH), Anton Reinecke (TUHH), Alexander Schlaefer (TUHH), Sibylle Schupp (TUHH) ยท 2022

Medical cyber-physical systems are safety-critical, and as such, require ongoing verification of their correct behavior, as system failure during run time may cause severe (or even fatal) personal damโ€ฆ

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Engineering Preprint PDF DOI

ETCetera: beyond Event-Triggered Control

Giannis Delimpaltadakis, Gabriel de A. Gleizer, Ivo van Straalen, Manuel Mazo Jr ยท 2022

We present ETCetera, a Python library developed for the analysis and synthesis of the sampling behaviour of event triggered control (ETC) systems. In particular, the tool constructs abstractions of thโ€ฆ

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Engineering Preprint PDF DOI

Learning Safe and Optimal Control Strategies for Storm Water Detention Ponds

Martijn A. Goorden, Kim G. Larsen, Jesper E. Nielsen, Thomas D. Nielsen, Michael R. Rasmussen, Jiri Srba ยท 2021

Storm water detention ponds are used to manage the discharge of rainfall runoff from urban areas to nearby streams. Their purpose is to reduce the hydraulic impact and sediment loads of the receiving โ€ฆ

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Engineering Preprint PDF DOI

Statistical Model Checking of Human-Robot Interaction Scenarios

Livia Lestingi (Politecnico di Milano), Mehrnoosh Askarpour (McMaster University), Marcello M. Bersani (Politecnico di Milano), Matteo Rossi (Politecnico di Milano) ยท 2020

Robots are soon going to be deployed in non-industrial environments. Before society can take such a step, it is necessary to endow complex robotic systems with mechanisms that make them reliable enougโ€ฆ

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Engineering Preprint PDF DOI

Synthesizing Strategies for Needle Steering in Gelatin Phantoms

Antje Rogalla (TUHH), Sascha Lehmann (TUHH), Maximilian Neidhardt (TUHH), Johanna Sprenger (TUHH), Marcel Bengs (TUHH), Alexander Schlaefer (TUHH), Sibylle Schupp (TUHH) ยท 2020

In medicine, needles are frequently used to deliver treatments to subsurface targets or to take tissue samples from the inside of an organ. Current clinical practice is to insert needles under image gโ€ฆ

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Engineering Preprint PDF DOI

SOS: Safe, Optimal and Small Strategies for Hybrid Markov Decision Processes

Pranav Ashok, Jan Kretinsky, Kim Guldstrand Larsen, Adrien Le Coent, Jakob Haahr Taankvist, Maximilian Weininger ยท 2019

For hybrid Markov decision processes, UPPAAL Stratego can compute strategies that are safe for a given safety property and (in the limit) optimal for a given cost function. Unfortunately, these strateโ€ฆ

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Engineering Preprint PDF DOI

Adopting the FAB-MAP algorithm for indoor localization with WiFi fingerprints

Jan Wietrzykowski, Micha{l} Nowicki, Piotr Skrzypczynski ยท 2016

Personal indoor localization is usually accomplished by fusing information from various sensors. A common choice is to use the WiFi adapter that provides information about Access Points that can be foโ€ฆ

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Engineering Preprint PDF DOI

Statistical Model Checking for Stochastic Hybrid Systems

Alexandre David (Aalborg University), Dehui Du (East China Normal University), Kim G. Larsen (Aalborg University), Axel Legay (INRIA Rennes), Marius Mikucionis (Aalborg University), Danny B{o}gsted Poulsen (Aalborg University), Sean Sedwards (INRIA Rennes) ยท 2012

This paper presents novel extensions and applications of the UPPAAL-SMC model checker. The extensions allow for statistical model checking of stochastic hybrid systems. We show how our race-based stocโ€ฆ

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