Publications associées à Commande prédictive

Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids

The paper aims at minimizing DC voltage oscillations in offshore multiterminal high-voltage direct current (HVDC) grids based on modular multilevel converters (MMCs). The DC voltage stability is a crucial factor in multiterminal HVDC networks since it is a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Improving frequency containment reserve provision in run-of-river hydropower plants

Mario Paolone, Elena Vagnoni, Francesco Gerini

The paper presents a model-based control strategy for optimal asset management of hydroelectric units in run-of-river hydropower plants. The proposed control strategy aims to operate the unit at the best efficiency while improving water flow management and ...

2021

Validation of an advanced control algorithms based on short-term forecasting of PV generation (RE Demo)

Mario Paolone, Rahul Kumar Gupta

The objective of this activity is to validate an advanced real-time control framework for power distribution networks in order to control grid-connected battery energy storage system (BESSs) to satisfy the control’s objectives such as tracking a day-ahead ...

SCCER-FURIES2021

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

Sylvain Calinon, Amirreza Razmjoo Fard, Teguh Santoso Lembono

paper studies exploiting action-level learning (imitation) in the optimal control problem context. Cost functions defined by the optimal control methods are similar to the goal-level learning (emulation) in animals. However, imitating the robot's or others ...

IEEE2021

A nonlinear model predictive control scheme for sensor fault tolerance in observation processes

Colin Neil Jones, Andrea Alessandretti

This article addresses the problem of designing a sensor fault-tolerant controller for an observation process where a primary, controlled system observes, through a set of measurements, an exogenous system to estimate the state of this system. We consider ...

WILEY2020

Data-driven methods for building control - A review and promising future directions

Colin Neil Jones, Yingzhao Lian, Emilio Maddalena

A review of the heating, ventilation and air-conditioning control problem for buildings is presented with particular emphasis on its distinguishing features. Next, we not only examine how data-driven algorithms have been exploited to tackle the main challe ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Model predictive perimeter control of MFD networks with guaranteed stability

Nikolaos Geroliminis, Isik Ilber Sirmatel

Traffic management for large-scale urban road networks remains a challenging problem. Aggregated dynamical models of city-scale traffic, based on the macroscopic fundamental diagram (MFD), enable development of model-based control schemes for use with the ...

2020

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Nikolaos Geroliminis, Isik Ilber Sirmatel, Ye Ren

Most perimeter control methods in literature are the model-based schemes. However, accurate modeling of the traffic flow system is hard and time-consuming. On the other hand, macroscopic traffic flow patterns show heavily similarity between days, and data ...

2020

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Commande prédictive

Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids

Improving frequency containment reserve provision in run-of-river hydropower plants

Validation of an advanced control algorithms based on short-term forecasting of PV generation (RE Demo)

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

A nonlinear model predictive control scheme for sensor fault tolerance in observation processes

Data-driven methods for building control - A review and promising future directions

PolyMPC: An efficient and extensible tool for real-time nonlinear model predictive tracking and path following for fast mechatronic systems

PolyMPC: An efficient and extensible tool for real‐time nonlinear model predictive tracking and path following for fast mechatronic systems

Model predictive perimeter control of MFD networks with guaranteed stability

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control

Graph Chatbot

Chattez avec Graph Search

Data-driven methods for building control - A review and promising future directions

Optimal Linear Controller for Minimizing DC Voltage Oscillations in MMC-Based Offshore Multiterminal HVDC Grids

A nonlinear model predictive control scheme for sensor fault tolerance in observation processes

PolyMPC: An efficient and extensible tool for real-time nonlinear model predictive tracking and path following for fast mechatronic systems

PolyMPC: An efficient and extensible tool for real‐time nonlinear model predictive tracking and path following for fast mechatronic systems

Improving frequency containment reserve provision in run-of-river hydropower plants

Model predictive perimeter control of MFD networks with guaranteed stability

Validation of an advanced control algorithms based on short-term forecasting of PV generation (RE Demo)

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

Multi-Region Network Perimeter Control via Model Free Adaptive Iterative Learning Control