no code implementations • 22 Oct 2023 • Tushar Desai, Federico Oliva, Riccardo M. G. Ferrari, Daniele Carnevale
For reliable and safe battery operations, accurate and robust State of Charge (SOC) and model parameters estimation are vital.
no code implementations • 22 Oct 2023 • Tushar Desai, Riccardo M. G. Ferrari
The method is based on a sequence-to-sequence learning-based encoder-decoder model, where the encoder infers the slowly varying states as the latent space variables in an unsupervised way, and the decoder provides health-aware multi-step ahead prediction conditioned on slowly varying states from the encoder.
no code implementations • 5 Sep 2023 • Jiaxuan Zhang, Alexander J. Gallo, Riccardo M. G. Ferrari
Watermarking is a promising active diagnosis technique for detection of highly sophisticated attacks, but is vulnerable to malicious agents that use eavesdropped data to identify and then remove or replicate the watermark.
no code implementations • 29 Sep 2022 • Zhixin Feng, Alexander J. Gallo, Yichao Liu, Atindriyo K. Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden
In this paper, we develop an Economic Model Predictive Control (eMPC) framework to address such needs.
no code implementations • 28 Sep 2022 • Pieter Stobbe, Twan Keijzer, Riccardo M. G. Ferrari
Fully Homomorphic Encryption (FHE) has made it possible to perform addition and multiplication operations on encrypted data.
no code implementations • 28 Sep 2022 • Twan Keijzer, Alexander J. Gallo, Riccardo M. G. Ferrari
We present a scheme to detect attacks that occur at the local level, with malicious agents capable of affecting the local control.
no code implementations • 17 Apr 2022 • Mohamed Baioumy, William Hartemink, Riccardo M. G. Ferrari, Nick Hawes
Model-based fault-tolerant control (FTC) often consists of two distinct steps: fault detection & isolation (FDI), and fault accommodation.
no code implementations • 1 Oct 2021 • Yichao Liu, Atindriyo K. Pamososuryo, Sebastiaan P. Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden
This letter introduces two novel BEWS estimator approaches: A Proportional Integral Notch (PIN) estimator based on individual blade load measurements, and a Coleman estimator targeting the estimation in the non-rotating frame.
no code implementations • 15 Apr 2021 • Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden
In this letter, we illustrate that the circle criterion can be used as an alternative method to prove the global convergence of the I\&I estimator.
no code implementations • 9 Apr 2021 • Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden
Individual Pitch Control (IPC) is an effective control strategy to mitigate the blade loads on large-scale wind turbines.
no code implementations • 8 Apr 2021 • Twan Keijzer, Fabian Jarmolowitz, Riccardo M. G. Ferrari
In this paper, we address the safety of Intersection Control algorithms, and design a Sliding-Mode-Observer based solution capable of detecting and estimating false data injection attacks affecting vehicles' communication.
no code implementations • 8 Apr 2021 • Twan Keijzer, Riccardo M. G. Ferrari
Platoons of autonomous vehicles are being investigated as a way to increase road capacity and fuel efficiency.
no code implementations • 8 Apr 2021 • Paula Chanfreut, Twan Keijzer, Riccardo M. G. Ferrari, Jose Maria Maestre
In this paper a coalitional control and observation scheme is presented in which the coalitions are changed online by enabling and disabling communication links.