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ORCIDDinh Quoc Tran
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2010 – 2019
- 2014
[j7]Dinh Quoc Tran, Ion Necoara, Moritz Diehl:
Path-following gradient-based decomposition algorithms for separable convex optimization. J. Glob. Optim. 59(1): 59-80 (2014)- [j6]Marco Signoretto, Dinh Quoc Tran, Lieven De Lathauwer, Johan A. K. Suykens
:
Learning with tensors: a framework based on convex optimization and spectral regularization. Mach. Learn. 94(3): 303-351 (2014) - 2013
- [j5]Dinh Quoc Tran, Carlo Savorgnan, Moritz Diehl:
Combining Lagrangian decomposition and excessive gap smoothing technique for solving large-scale separable convex optimization problems. Comput. Optim. Appl. 55(1): 75-111 (2013) - [j4]Dinh Quoc Tran, Ion Necoara, Carlo Savorgnan, Moritz Diehl:
An Inexact Perturbed Path-Following Method for Lagrangian Decomposition in Large-Scale Separable Convex Optimization. SIAM J. Optim. 23(1): 95-125 (2013) - [j3]Frederik Debrouwere, Wannes Van Loock, Goele Pipeleers, Dinh Quoc Tran, Moritz Diehl, Joris De Schutter, Jan Swevers:
Time-Optimal Path Following for Robots With Convex-Concave Constraints Using Sequential Convex Programming. IEEE Trans. Robotics 29(6): 1485-1495 (2013) - [c8]Dinh Quoc Tran, Ion Necoara, Moritz Diehl:
A dual decomposition algorithm for separable nonconvex optimization using the penalty function framework. CDC 2013: 2372-2377 - [c7]Frederik Debrouwere, Wannes Van Loock, Goele Pipeleers, Dinh Quoc Tran, Moritz Diehl, Joris De Schutter, Jan Swevers:
Optimal robot path following for minimal time versus energy loss trade-off using sequential convex programming. ICM 2013: 316-320 - [c6]Frederik Debrouwere, Wannes Van Loock, Goele Pipeleers, Dinh Quoc Tran, Moritz Diehl, Joris De Schutter, Jan Swevers:
Time-optimal path following for robots with trajectory jerk constraints using sequential convex programming. ICRA 2013: 1916-1921 - 2012
- [j2]Dinh Quoc Tran, Carlo Savorgnan, Moritz Diehl:
Adjoint-Based Predictor-Corrector Sequential Convex Programming for Parametric Nonlinear Optimization. SIAM J. Optim. 22(4): 1258-1284 (2012) - [j1]Dinh Quoc Tran, Suat Gumussoy, Wim Michiels, Moritz Diehl:
Combining Convex-Concave Decompositions and Linearization Approaches for Solving BMIs, With Application to Static Output Feedback. IEEE Trans. Autom. Control. 57(6): 1377-1390 (2012) - [c5]Dinh Quoc Tran, Wim Michiels, Sebastien Gros, Moritz Diehl:
An inner convex approximation algorithm for BMI optimization and applications in control. CDC 2012: 3576-3581 - 2011
- [c4]Dinh Quoc Tran, Carlo Savorgnan, Moritz Diehl:
Real-time sequential convex programming for nonlinear model predictive control and application to a hydro-power plant. CDC/ECC 2011: 5905-5910 - [i3]Dinh Quoc Tran, Carlo Savorgnan, Moritz Diehl:
Real-Time Sequential Convex Programming for Optimal Control Applications. CoRR abs/1105.3427 (2011) - [i2]Dinh Quoc Tran, Carlo Savorgnan, Moritz Diehl:
Combining Lagrangian Decomposition and Excessive Gap Smoothing Technique for Solving Large-Scale Separable Convex Optimization Problems. CoRR abs/1105.5427 (2011) - [i1]Dinh Quoc Tran, Suat Gumussoy, Wim Michiels, Moritz Diehl:
Combining Convex-Concave Decompositions and Linearization Approaches for solving BMIs, with application to Static Output Feedback. CoRR abs/1109.3320 (2011)
2000 – 2009
- 2009
- [c3]Ion Necoara, Carlo Savorgnan, Dinh Quoc Tran, Johan A. K. Suykens, Moritz Diehl:
Distributed nonlinear optimal control using sequential convex programming and smoothing techniques. CDC 2009: 543-548 - [c2]Dinh Quoc Tran, Moritz Diehl:
An application of sequential convex programming to time optimal trajectory planning for a car motion. CDC 2009: 4366-4371 - [c1]Dinh Quoc Tran, Carlo Savorgnan, Moritz Diehl:
Real-Time Sequential Convex Programming for Optimal Control Applications. HPSC 2009: 91-102
Coauthor Index
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