activity
20192022
most citedA Novel Adaptive Controller for Robot Manipulators based on Active Inference

92 citations · 182 across the 26 of their papers we have counts for

collaborators
Showing 2022Show all

10 papers · 1 filter

eess.SY2022

A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

Z. Feng, Y. Liu, R. Ferrari +1

Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extr…

eess.SY2022★ 1 cited

An Economic Model Predictive Control Approach for Load Mitigation on Multiple Tower Locations of Wind Turbines

Zhixin Feng, Alexander J. Gallo, Yichao Liu +3

The current trend in the evolution of wind turbines is to increase their rotor size in order to capture more power. This leads to taller, slender and more flexible towers, which th…

eess.SY2022

A Fully Homomorphic Encryption Scheme for Real-Time Safe Control

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. Using FHE in control thus has the advantage that contro…

eess.SY2022

Hierarchical Cyber-Attack Detection in Large-Scale Interconnected Systems

Twan Keijzer, Alexander J. Gallo, Riccardo M. G. Ferrari

In this paper we present a hierarchical scheme to detect cyber-attacks in a hierarchical control architecture for large-scale interconnected systems (LSS). We consider the LSS as a…

eess.SY2022

Convex Model Predictive Control for Down-regulation Strategies in Wind Turbines

Jean Gonzalez Silva, Riccardo Ferrari, Jan-Willem van Wingerden

Wind turbine (WT) controllers are often geared towards maximum power extraction, while suitable operating constraints should be guaranteed such that WT components are protected fro…

cs.RO2022

Unbiased Active Inference for Classical Control

Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari +1

Active inference is a mathematical framework that originated in computational neuroscience. Recently, it has been demonstrated as a promising approach for constructing goal-driven…

eess.SY2022

Active power control of wind farms: an instantaneous approach on waked conditions

Jean Gonzalez Silva, Bart Matthijs Doekemeijer, Riccardo Ferrari +1

This paper presents a closed-loop controller for wind farms to provide active power control services using a high-fidelity computational fluid dynamics based wind plant simulator.…

eess.SY2022

Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning

Mohamed Baioumy, William Hartemink, Riccardo M. G. Ferrari +1

Model-based fault-tolerant control (FTC) often consists of two distinct steps: fault detection & isolation (FDI), and fault accommodation. In this work we investigate posing fault-…

eess.SY2022★ 1 cited

A Switching Thrust Tracking Controller for Load Constrained Wind Turbines

Jean Gonzalez Silva, Daan van der Hoek, Sebastiaan Paul Mulders +2

Wind turbines are prone to structural degradation, particularly in offshore locations. Based on the structural health condition of the tower, power de-rating strategies can be used…

cs.CR2022★ 1 cited

Cryptographic switching functions for multiplicative watermarking in cyber-physical systems

Alexander J. Gallo, Riccardo M. G. Ferrari

In this paper we present a novel switching function for multiplicative watermarking systems. The switching function is based on the algebraic structure of elliptic curves over fini…