@article{BarzSeligerMarxetal., author = {Barz, Tilman and Seliger, Dominik and Marx, Klemens and Sommer, Andreas and Walter, Sebastian F. and Bock, Hans Georg and Koerkel, Stefan}, title = {State and state of charge estimation for a latent heat storage}, series = {Control Engineering Practice}, volume = {72}, journal = {Control Engineering Practice}, publisher = {Pergamon-Elsevier d.}, doi = {10.1016/j.conengprac.2017.11.006}, pages = {151 -- 166}, abstract = {A nonlinear state observer is designed for a thermal energy storage with solid/liquid phase change material (PCM). Using a physical 2D dynamic model, the observer reconstructs transient spatial temperature fields inside the storage and estimates the stored energy and the state of charge. The observer has been successfully tested with a lab-scale latent heat storage with a single pass tube bundle and the phase change material located in a shell around each tube. It turns out that the observer robustly tracks the real process data with as few as four internal PCM temperature sensors. © 2017 Elsevier Ltd. All rights reserved.}, language = {en} } @inproceedings{SchwindlVolbertBock, author = {Schwindl, Tobias and Volbert, Klaus and Bock, Sebastian}, title = {Fast and Reliable Update Protocols in WSNs During Software Development, Testing and Deployment}, series = {Proceedings of the 7th International Conference on Sensor Networks - SENSORNETS, Funchal, January 22-24, 2018, Madeira, Portugal}, booktitle = {Proceedings of the 7th International Conference on Sensor Networks - SENSORNETS, Funchal, January 22-24, 2018, Madeira, Portugal}, editor = {Fleury, Eric and Ahrens, Andreas and Benavente-Peces, C{\´e}sar and Cam-Winget, Nancy}, publisher = {SCITEPRESS - Science and Technology Publications Lda}, address = {Set{\´u}bal, Portugal}, organization = {Institute for Systems and Technologies of Information, Control and Communication}, isbn = {978-989-758-284-4}, doi = {10.5220/0006534400190030}, pages = {19 -- 30}, abstract = {A lot of research has been done in the area of Wireless Sensor Networks during the past years. Today, Wireless Sensor Networks are in field in many different ways and applications (e.g. energy management services, heat and water billing, smoke detectors). Nevertheless, research and development is continued in this area. After the network is deployed, software updates are performed very rarely, but during development and testing one typical, high frequented task is to deploy a new firmware to thousands of nodes. In this paper, we consider such a software update for a special, but well-known and frequently used sensor network platform. There exist some interesting research papers about updating sensor nodes, but we have a special focus on the technical update process. In this context, we show the reasons why these existing update processes do not cover our challenges. Our goal is to allow a developer to update thousands of nodes reliably and very fast during development and testing. Fo r this purpose, it is not so important to perform the best update with regard to energy consumption. We do not need a multi hop protocol, because all devices are in range, e.g., in a laboratory. In our work, we present a model of the update process and give very fast protocols to solve it. The results of our extensive simulations show that the developed protocols do a fast, scalable and reliable update.}, language = {en} }