Publications related to Industrial process control

Performance Comparison of Alternating Direction Optimization Methods for Linear-OPF based Real-time Predictive Control

Mario Paolone, Fabrizio Sossan, Rahul Kumar Gupta, Vladimir Sovljanski

The paper contributes to improving the computational performance of controls of distributed energy resources (DERs) in distribution grids for efficient real-time control and short-term scheduling. The considered setting is a distribution grid with heteroge ...

IEEE2021

Security-aware Routing and Scheduling for Control Applications on Ethernet TSN Networks

Amir Aminifar

Today, it is common knowledge in the cyber-physical systems domain that the tight interaction between the cyber and physical elements provides the possibility of substantially improving the performance of these systems that is otherwise impossible. On the ...

ASSOC COMPUTING MACHINERY2020

Data-Driven Distributed Combined Primary and Secondary Control in Microgrids

Alireza Karimi, Christoph Manuel Kammer, Seyed Sohail Madani

This paper presents a comprehensive data-driven distributed combined primary/secondary controller design method for microgrids. This method provides transient and steady-state performance including power-sharing and voltage and frequency restoration while ...

2020

Exploring the Contribution of Proprioceptive Reflexes to Balance Control in Perturbed Standing

Auke Ijspeert, Anne Daniëlle Koelewijn

Humans control balance using different feedback loops involving the vestibular system, the visual system, and proprioception. In this article, we focus on proprioception and explore the contribution of reflexes based on force and length feedback to standin ...

FRONTIERS MEDIA SA2020

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

José del Rocio Millán Ruiz, Luca Tonin, Felix Christian Bauer

Despite the growing interest in brain-machine interface (BMI)-driven neuroprostheses, the translation of the BMI output into a suitable control signal for the robotic device is often neglected. In this article, we propose a novel control approach based on ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Variable-stiffness tensegrity spine

Dario Floreano, Davide Zappetti, Enrico Ajanic, Roc Arandes Vilagrasa

Vertebrates, including amphibians, reptiles, birds, and mammals, with their ability to change the stiffness of the spine to increase load-bearing capability or flexibility, have inspired roboticists to develop artificial variable-stiffness spines. However, ...

2020

Grid-aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation

Mario Paolone, Fabrizio Sossan, Rahul Kumar Gupta

In this paper, we propose and experimentally validate a scheduling and control framework for distributed energy resources (DERs) that achieves to track a day-ahead dispatch plan of a distribution network hosting controllable and stochastic heterogeneous re ...

2020

Real World Bayesian Optimization Using Robots to Clean Liquid Spills

Josephine Anna Eleanor Hughes, Kieran Daniel Gilday

Developing robots that can contribute to cleaning could have a significant impact on the lives of many. Cleaning wet liquid spills is a particularly challenging task for a robotic system, and has several high impact applications. This is a hard task to phy ...

Springer Science and Business Media Deutschland GmbH2020

A memory of motion for visual predictive control tasks

Sylvain Calinon, Antonio Paolillo, Teguh Santoso Lembono

This paper addresses the problem of efficiently achieving visual predictive control tasks. To this end, a memory of motion, containing a set of trajectories built off-line, is used for leveraging precomputation and dealing with difficult visual tasks. Stan ...

2020

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Industrial process control

Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code

Performance Comparison of Alternating Direction Optimization Methods for Linear-OPF based Real-time Predictive Control

Security-aware Routing and Scheduling for Control Applications on Ethernet TSN Networks

Data-Driven Distributed Combined Primary and Secondary Control in Microgrids

Exploring the Contribution of Proprioceptive Reflexes to Balance Control in Perturbed Standing

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

Variable-stiffness tensegrity spine

Grid-aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation

Real World Bayesian Optimization Using Robots to Clean Liquid Spills

A memory of motion for visual predictive control tasks

Graph Chatbot

Chat with Graph Search

Performance Comparison of Alternating Direction Optimization Methods for Linear-OPF based Real-time Predictive Control

Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

Data-Driven Distributed Combined Primary and Secondary Control in Microgrids

Security-aware Routing and Scheduling for Control Applications on Ethernet TSN Networks

Real World Bayesian Optimization Using Robots to Clean Liquid Spills

Grid-aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation

Exploring the Contribution of Proprioceptive Reflexes to Balance Control in Perturbed Standing

Variable-stiffness tensegrity spine

A memory of motion for visual predictive control tasks