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Publications of R.A. Delgado (past Departamento de Electronica UTFSM member)   Download bibtex file Order by:   Type | Year
<< 2021 >> TOP
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R Orellana, M Coronel, R Carvajal, R.A. Delgado, P Escarate and J.C Agüero. On the Uncertainty Modelling for Linear Continuous-Time Systems Utilising Sampled Data and Gaussian Mixture Models. In 19th IFAC Symposium on System Identification SYSID 2021, IFAC-PapersOnLine, Vol. 54(7):589-594, 2021. URL
<< 2017 >> TOP
2 Add to my selection
R. Aguilera, G Urrutia, R.A. Delgado, D Dolz and J.C Agüero. Quadratic Model Predictive Control Including Input Cardinality Constraints. In IEEE Transactions on Automatic Control, Vol. 62(6):3068-3075, June 2017. URL
| WoS
<< 2016 >> TOP
3 Add to my selection
G Urrutia, R.A. Delgado and J.C Agüero. Low-order control design using a novel rank-constrained optimization approach. In 2016 Australian Control Conference, AUCC 2016, Newcastle, Australia, 3-4 November 2016.
4 Add to my selection
G Urrutia, R.A. Delgado, R Carvajal, D. Katselis and J.C Agüero. Sparse Logistic Regression Utilizing Cardinality Constraints and Information Criteria. In IEEE Multi-Conference on Systems and Control 2016, Buenos Aires, Argentina, 19-22 September 2016. URL
<< 2015 >> TOP
5 Add to my selection
R.A. Delgado, J.C Agüero, G.C. Goodwin and E. Mendes. Application of Rank-Constrained Optimization to Nonlinear System Identification. In 1st IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON), Saint Petersburg, Russia, 24-26 June 2015.
<< 2014 >> TOP
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R. Aguilera, R.A. Delgado, D Dolz and J.C Agüero. Quadratic MPC with `0-input constraint. In 19th IFAC World Congress, Cape Town, South Africa, 2014.
| NO USM
7 Add to my selection
R.A. Delgado, J.C Agüero and G.C. Goodwin. A Rank-Constrained Optimization approach: Application to Factor Analysis. In 19th IFAC World Congress, Cape Town, South Africa, 2014.
| NO USM
<< 2012 >> TOP
8 Add to my selection
R.A. Delgado, G.C. Goodwin, R Carvajal and J.C Agüero. A novel approach to model error modelling using the expectation-maximization algorithm. In 51st IEEE Conference on Decision and Control, Maui, USA, 10-13 December 2012. URL
| NO USM
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Last modified: Fri March 12 2021 18:39:37