- document
-
Brosinsky, Christoph (author), Karaçelebi, M. (author), Cremer, Jochen (author)The reader of the chapter will be able to connect techniques from machine learning (ML) and digital twins (DTs) to gain insights for monitoring and control of (dynamic) security for electrical power systems. DTs are validated and verified high-fidelity (hf) models providing high simulation accuracy. DTs can be used for simulation of the...book chapter 2023
- document
-
Desai, T.K. (author), Oliva, Federico (author), Ferrari, Riccardo M.G. (author), Carnevale, Daniele (author)For reliable and safe battery operations, accurate and robust State of Charge (SOC) and model parameters estimation is vital. However, the nonlinear dependency of the model parameters on battery states makes the problem challenging. We propose a Moving-Horizon Estimation (MHE)-based robust approach for joint state and parameters estimation....journal article 2023
- document
-
Pour, Fatemeh Karimi (author), Segovia Castillo, P. (author), Etienne, Lucien (author), Duviella, Eric (author)This paper proposes a combined control and state estimation strategy for inland waterways, aiming at simultaneously attaining the optimal water level management and maximizing hydroelectricity generation. The latter can be realized by turbines installed in canal locks that harness the energy generated during lock filling and draining...journal article 2022
- document
-
Karimi Pour, Fatemeh (author), Segovia Castillo, P. (author), Duviella, Eric (author), Puig, Vicenç (author)This work presents the design of a combined control and state estimation approach to simultaneously maintain optimal water levels and maximize hydroelectricity generation in inland waterways using gates and ON/OFF pumps. The latter objective can be achieved by installing turbines within canal locks, which harness the energy generated during...journal article 2022
- document
-
Segovia Castillo, P. (author), Puig, Vicenç (author), Duviella, Eric (author)This work is concerned with the design of a two-step distributed state estimation scheme for large-scale systems in the presence of unknown-but-bounded disturbances and noise. The set-membership approach is employed to construct a compact set containing the states consistent with system measurements and bounded noise and disturbances. The...journal article 2022
- document
-
Eckhoff, Karsten (author), Kok, M. (author), Lucia, Sergio (author), Seel, Thomas (author)Inertial measurement units are commonly used in a growing number of application fields to track or capture motions of kinematic chains, such as human limbs, exoskeletons or robotic actuators. A major challenge is the presence of magnetic disturbances that results in unreliable magnetometer readings. Recent research revealed that this problem...journal article 2021
- document
-
Stroobants, Stein (author)Accurate indoor localization is essential for autonomous robotic agents to perform tasks ranging from warehouse management to remote sensing in greenhouses. Recently Ultra Wideband (UWB) distance measurements have been used to estimate position and velocity indoors. These UWB-measurements are known to be corrupted by a varying bias. Besides,...master thesis 2019
- document
-
Wan, Y. (author), Keviczky, T. (author)This paper proposes a real-time fault-tolerant estimation approach for combined sensor fault diagnosis and air data reconstruction. Due to simultaneous influence of winds and latent faults on monitored sensors, it is challenging to address the tradeoff between robustness to wind disturbances and sensitivity to sensor faults. As opposed to...journal article 2018
- document
-
Pool, E.A.I. (author)A classical robust control problem based on randomized algorithms assumes a probability distribution over the uncertainty region to get its controller. This thesis shows that the measurements from the output signal can help to update and improve the probability distribution in a closed loop situation without the requirement of additional input....master thesis 2015