Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Michael Rothammer

dblp:269/6234 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
real-time control
0.712023
Error-Domain Conservativity Control to Transparently Increase the Stability Range of Time-Discretized Controllers · ICRA 2023

Methods — techniques the papers use, named apart from their topics

linear interpolation · 0.7adaptive damping · 0.7
YearPublicationVenuePosition
2023 Error-Domain Conservativity Control to Transparently Increase the Stability Range of Time-Discretized Controllers
abstract
Time-discretization introduces an explicit time dependency for control laws that were originally designed to depend exclusively on an error variable: At different times, the control actions at the same error value might differ. Integrating the control action over the error reveals that this time dependency translates into the energy. It can directly cause active behavior when energy values at given error values decrease over time, potentially destabilizing the system. In this work, we aim to prevent energy values at given error values from decreasing over time. To this end, energies are recorded when error values are encountered for the first time. Linear interpolation of the recorded energy values provides a lower limit for energy as a function of the error value. This limit is enforced using an adaptive damping. The main contributions of this work include increasing the stability range with minimal amplitude control modifications, while promoting a symmetric behavior of control actions and energy. The approach's characteristics are shown in simulation and validated in experiments.
Michael Rothammer, Jee-Hwan Ryu
ICRA1