Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Karthik R. Ramaswamy"'
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC)
2021 60th IEEE Conference on Decision and Control (CDC), 840-845
STARTPAGE=840;ENDPAGE=845;TITLE=2021 60th IEEE Conference on Decision and Control (CDC)
2021 60th IEEE Conference on Decision and Control (CDC), 840-845
STARTPAGE=840;ENDPAGE=845;TITLE=2021 60th IEEE Conference on Decision and Control (CDC)
Recently different identification methods have been developed for identifying a single module in a dynamic network. In order to select an appropriate predictor model one typically needs prior knowledge on the topology (interconnection structure) of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5edef42fe6b7c82b6e800a026773176b
https://research.tue.nl/en/publications/6e9671af-1a10-4f84-8fd4-5d7fc3e4c12f
https://research.tue.nl/en/publications/6e9671af-1a10-4f84-8fd4-5d7fc3e4c12f
Publikováno v:
Automatica
Automatica, 129:109591. Elsevier
Automatica, 129:109591. Elsevier
In order to identify one system (module) in an interconnected dynamic network, one typically has to solve a Multi-Input-Single-Output (MISO) identification problem that requires identification of all modules in the MISO setup. For application of a pa
Publikováno v:
CDC
2020 59th IEEE Conference on Decision and Control (CDC)
59th IEEE Conference on Decision and Control (CDC 2020), 4354-4359
STARTPAGE=4354;ENDPAGE=4359;TITLE=59th IEEE Conference on Decision and Control (CDC 2020)
2020 59th IEEE Conference on Decision and Control (CDC)
59th IEEE Conference on Decision and Control (CDC 2020), 4354-4359
STARTPAGE=4354;ENDPAGE=4359;TITLE=59th IEEE Conference on Decision and Control (CDC 2020)
For consistent or minimum variance estimation of a single module in a dynamic network, a predictor model has to be chosen with selected inputs and outputs, composed of a selection of measured node signals and possibly external excitation signals. The
Autor:
Karthik R. Ramaswamy, R.M. Fonseca, Olwijn Leeuwenburgh, MM Muhammad Siraj, P.M.J. Van den Hof
Publikováno v:
Computational Geosciences, 24(3), 1057-1069. Springer
Computational Geosciences, 1-13
Computational Geosciences: modeling, simulation and data analysis, 24(3)
Computational Geosciences, 1-13
Computational Geosciences: modeling, simulation and data analysis, 24(3)
We are concerned with the efficiency of stochastic gradient estimation methods for large-scale nonlinear optimization in the presence of uncertainty. These methods aim to estimate an approximate gradient from a limited number of random input vector s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b28ce9934b50f44de6624ae6031ed203
https://research.tue.nl/nl/publications/0c9306fb-2c02-4466-b15b-43bcf276d22c
https://research.tue.nl/nl/publications/0c9306fb-2c02-4466-b15b-43bcf276d22c
Publikováno v:
2020 59th IEEE Conference on Decision and Control (CDC)
CDC
59th IEEE Conference on Decision and Control (CDC 2020), 4348-4353
STARTPAGE=4348;ENDPAGE=4353;TITLE=59th IEEE Conference on Decision and Control (CDC 2020)
CDC
59th IEEE Conference on Decision and Control (CDC 2020), 4348-4353
STARTPAGE=4348;ENDPAGE=4353;TITLE=59th IEEE Conference on Decision and Control (CDC 2020)
In this paper, we consider the problem of identifying one system (module) embedded in a dynamic network that is disturbed by colored process noise sources, which can possibly be correlated. To achieve this using the direct method for single module id
Publikováno v:
2019 IEEE 58th Conference on Decision and Control, CDC 2019, 5494-5499
STARTPAGE=5494;ENDPAGE=5499;TITLE=2019 IEEE 58th Conference on Decision and Control, CDC 2019
2019 IEEE 58th Conference on Decision and Control (CDC)
CDC
STARTPAGE=5494;ENDPAGE=5499;TITLE=2019 IEEE 58th Conference on Decision and Control, CDC 2019
2019 IEEE 58th Conference on Decision and Control (CDC)
CDC
The identification of local modules in dynamic networks with known topology has recently been addressed by formulating conditions for arriving at consistent estimates of the module dynamics, typically under the assumption of having disturbances that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bad6610a271ecd1f48c95c797de52f5
https://research.tue.nl/en/publications/73d4b33b-f9b4-497a-b6fc-54f592fed037
https://research.tue.nl/en/publications/73d4b33b-f9b4-497a-b6fc-54f592fed037
Publikováno v:
CDC
2019 IEEE 58th Conference on Decision and Control (CDC)
2019 IEEE 58th Conference on Decision and Control, CDC 2019, 5519-5524
STARTPAGE=5519;ENDPAGE=5524;TITLE=2019 IEEE 58th Conference on Decision and Control, CDC 2019
2019 IEEE 58th Conference on Decision and Control (CDC)
2019 IEEE 58th Conference on Decision and Control, CDC 2019, 5519-5524
STARTPAGE=5519;ENDPAGE=5524;TITLE=2019 IEEE 58th Conference on Decision and Control, CDC 2019
For the problem of identifying a target module that is embedded in a dynamic network with known interconnection structure, different sets of conditions are available for the set of node signals to be measured and the set of excitation signals to be a
Publikováno v:
CDC
2018 IEEE Conference on Decision and Control (CDC)
2018 IEEE Conference on Decision and Control, CDC 2018, 4713-4718
STARTPAGE=4713;ENDPAGE=4718;TITLE=2018 IEEE Conference on Decision and Control, CDC 2018
2018 IEEE Conference on Decision and Control (CDC)
2018 IEEE Conference on Decision and Control, CDC 2018, 4713-4718
STARTPAGE=4713;ENDPAGE=4718;TITLE=2018 IEEE Conference on Decision and Control, CDC 2018
In order to identify a specific system (module) of interest embedded in a dynamic network, one typically has to formulate a multi-input single-output (MISO) identification problem which requires to identify all modules in the MISO structure, and dete
Publikováno v:
Pure TUe
IEEE Transactions on Automatic Control, 66(11), 5237-5252. Institute of Electrical and Electronics Engineers
IEEE Transactions on Automatic Control
arXiv, 2019:1908.00976v1. Cornell University Library
IEEE Transactions on Automatic Control, 66(11), 5237-5252. Institute of Electrical and Electronics Engineers
IEEE Transactions on Automatic Control
arXiv, 2019:1908.00976v1. Cornell University Library
The identification of local modules in dynamic networks with known topology has recently been addressed by formulating conditions for arriving at consistent estimates of the module dynamics, under the assumption of having disturbances that are uncorr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b8c7c53b6d70ae48bc0a9b33a93dcd7
https://research.tue.nl/en/publications/35a0891c-758f-4323-b962-03f3131f76d2
https://research.tue.nl/en/publications/35a0891c-758f-4323-b962-03f3131f76d2