Zobrazeno 1 - 10
of 400
pro vyhledávání: '"Riccardo Scattolini"'
Publikováno v:
Computation, Vol 11, Iss 11, p 216 (2023)
Roboat is an autonomous surface vessel (ASV) for urban waterways, developed as a research project by the AMS Institute and MIT. The platform can provide numerous functions to a city, such as transport, dynamic infrastructure, and an autonomous waste
Externí odkaz:
https://doaj.org/article/b29c84507e9f4b918358c928290dcff5
Publikováno v:
International Journal of Robust and Nonlinear Control. 31:8877-8896
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c47a7136f144c83f311ce049e2046070
https://doi.org/10.1002/rnc.5519
https://doi.org/10.1002/rnc.5519
Publikováno v:
IFAC-PapersOnLine. 54:547-552
The idea of using Feed-Forward Neural Networks (FFNNs) as regression functions for Nonlinear AutoRegressive eXogenous (NARX) models, leading to models herein named Neural NARXs (NNARXs), has been quite popular in the early days of machine learning ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4041c5e2ac9a29529c38d026c058aa8
https://doi.org/10.1016/j.ifacol.2021.08.417
https://doi.org/10.1016/j.ifacol.2021.08.417
Publikováno v:
IEEE Transactions on Control Systems Technology. 28:521-532
This paper describes a hierarchical control scheme for the coordination of independent, asymptotically stable, and square systems with joint input and output constraints. At the higher layer of the control structure, a centralized model predictive co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::445a66c0822a8600237814fff8e972cb
https://doi.org/10.1109/tcst.2018.2884243
https://doi.org/10.1109/tcst.2018.2884243
Publikováno v:
IFAC-PapersOnLine. 53:5171-5176
The use of recurrent neural networks to represent the dynamics of unstable systems is difficult due to the need to properly initialize their internal states, which in most of the cases do not have any physical meaning, consequent to the non-smoothnes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a9681dc01d3b062f1d569f4daacdfe8
https://doi.org/10.1016/j.ifacol.2020.12.1183
https://doi.org/10.1016/j.ifacol.2020.12.1183
Publikováno v:
IFAC-PapersOnLine. 53:12930-12935
Volatile renewable energy resources are gaining more and more diffusion throughout the power system, and their intermittent production calls for enhanced balancing efforts. With a recent regulation, the European Union endorsed the participation of ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e5569d56cd50735250fa06215938fc2
https://doi.org/10.1016/j.ifacol.2020.12.2126
https://doi.org/10.1016/j.ifacol.2020.12.2126
Autor:
Riccardo Scattolini, Fabio Bonassi
Owing to their superior modeling capabilities, gated Recurrent Neural Networks, such as Gated Recurrent Units (GRUs) and Long Short-Term Memory networks (LSTMs), have become popular tools for learning dynamical systems. This paper aims to discuss how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54be40d87d5efed6b5c238fe55ea9602
http://hdl.handle.net/11311/1210301
http://hdl.handle.net/11311/1210301
Publikováno v:
14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), pp. 396–401, Tel Aviv, Israel, 28-30 March 2022
info:cnr-pdr/source/autori:R. Boffadossi, F. Bonassi, L. Fagiano, R. Scattolini, A. Cataldo/congresso_nome:14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022)/congresso_luogo:Tel Aviv, Israel/congresso_data:28-30 March 2022/anno:2022/pagina_da:396/pagina_a:401/intervallo_pagine:396–401
info:cnr-pdr/source/autori:R. Boffadossi, F. Bonassi, L. Fagiano, R. Scattolini, A. Cataldo/congresso_nome:14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022)/congresso_luogo:Tel Aviv, Israel/congresso_data:28-30 March 2022/anno:2022/pagina_da:396/pagina_a:401/intervallo_pagine:396–401
An approach to safely learn and deploy, at fast rate, a given optimization based controller for the routing problem in smart manufacturing is presented. The considered application features a large number of integer decision variables, combined with n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e4ce3c5a9738a7578c061dfa19057c7
https://hdl.handle.net/11311/1231883
https://hdl.handle.net/11311/1231883
This article describes a control approach for large-scale electricity networks, with the goal of efficiently coordinating distributed generators to balance unexpected load variations with respect to nominal forecasts. To mitigate the difficulties due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7542cc90f84cdbed17c9ef045cc7fa51
http://hdl.handle.net/11311/1205332
http://hdl.handle.net/11311/1205332
In this paper, the flexibility of hybrid AC-DC distribution networks is exploited to coordinate multiple Distributed Energy Resources (DERs) with the aim of promptly restoring unexpected power imbalances caused by intermittent Renewable Energy Source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90a0fc689fa9b76fc8951fdc485c2a0d
http://hdl.handle.net/11311/1188207
http://hdl.handle.net/11311/1188207