loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Carsten Behn

Affiliation: Ilmenau University of Technology, Germany

Keyword(s): Adaptive Control, Bio-inspired Sensor System, Modeling, Uncertain System.

Related Ontology Subjects/Areas/Topics: Adaptive Signal Processing and Control ; Biological Inspired Sensors ; Force and Tactile Sensors ; Informatics in Control, Automation and Robotics ; Mechanical Sensors ; Signal Processing, Sensors, Systems Modeling and Control ; System Modeling

Abstract: Based on the paradigm biological receptor and its fundamental feature to filter signals and transduce them, we set up a mechanical sensor system to find hints to establish a measurement or monitoring system. These technical systems have to offer high sensitivity to signals from the environment. To mimic the complex behavior of the biological system, adaptive controllers have to be applied to a mechanical sensor system to compensate and filter unknown ground excitations (uncertainties of the system). Before doing this we summarize previous work on controlling such mechanical systems. We expose the need of improvements of already existing strategies from literature, the corresponding problems are formulated. Improved adaptive controllers are presented. Their working principle is illustrated in various numerical simulations and experiments.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 100.26.140.179

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Behn, C. (2013). Modeling the Behavior of Hair Follicle Receptors as Technical Sensors using Adaptive Control. In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-8565-70-9; ISSN 2184-2809, SciTePress, pages 336-345. DOI: 10.5220/0004488003360345

@conference{icinco13,
author={Carsten Behn.},
title={Modeling the Behavior of Hair Follicle Receptors as Technical Sensors using Adaptive Control},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2013},
pages={336-345},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004488003360345},
isbn={978-989-8565-70-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Modeling the Behavior of Hair Follicle Receptors as Technical Sensors using Adaptive Control
SN - 978-989-8565-70-9
IS - 2184-2809
AU - Behn, C.
PY - 2013
SP - 336
EP - 345
DO - 10.5220/0004488003360345
PB - SciTePress