2017 - Fellow of the International Federation of Automatic Control (IFAC)
2015 - SIAM Fellow For contributions to nonlinear control theory and nonlinear optimization.
2010 - IEEE Fellow For contributions to nonlinear systems
Rodolphe Sepulchre focuses on Control theory, Topology, Lyapunov function, Nonlinear system and Mathematical optimization. Rodolphe Sepulchre interconnects Graph and Synchronization in the investigation of issues within Control theory. The various areas that Rodolphe Sepulchre examines in his Topology study include Convergence and Laplace operator.
His Lyapunov function study incorporates themes from Optimal design, Feedback passivation and Backstepping. He combines subjects such as Rank, Gradient descent, Matrix completion, Sparse approximation and Differential geometry with his study of Mathematical optimization. His Gradient descent study deals with Algebra intersecting with Pure mathematics.
His main research concerns Control theory, Nonlinear system, Topology, Mathematical analysis and Neuroscience. His study in Exponential stability, Lyapunov function, Linear system, Robustness and Nonlinear control are all subfields of Control theory. His Lyapunov function research focuses on Lyapunov equation and Lyapunov redesign.
His Bounded function research extends to the thematically linked field of Linear system. As a member of one scientific family, Rodolphe Sepulchre mostly works in the field of Nonlinear system, focusing on Applied mathematics and, on occasion, Generalization. Much of his study explores Topology relationship to Dynamical systems theory.
His primary scientific interests are in Nonlinear system, Pure mathematics, Control theory, Linear system and Neuromodulation. His Nonlinear system study combines topics from a wide range of disciplines, such as Dominance, Generalization, Reduction and Applied mathematics. The Pure mathematics study combines topics in areas such as Positive-definite matrix, Monotonic function and Positive systems.
His Control theory research includes elements of Nonlinear system identification and Hodgkin–Huxley model. His study in Linear system is interdisciplinary in nature, drawing from both Transfer function and Statistical physics. The various areas that Rodolphe Sepulchre examines in his Electronic circuit study include Negative feedback and Topology.
Rodolphe Sepulchre mostly deals with Nonlinear system, Pure mathematics, Control theory, Applied mathematics and Generalization. His Nonlinear system research includes themes of Dominance, Linear system, Identification and Topology. His Pure mathematics research is multidisciplinary, relying on both Attractor and General linear group.
In his works, Rodolphe Sepulchre performs multidisciplinary study on Control theory and Molecular systems. The Applied mathematics study combines topics in areas such as Relaxation system, Complementarity and Circle criterion. His research integrates issues of Quadratic equation, Expression, Interpretability and Modulation in his study of Generalization.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Optimization Algorithms on Matrix Manifolds
P.-A. Absil;R. Mahony;R. Sepulchre.
Constructive Nonlinear Control
Rodolphe Sepulchre;Mrdjan Jankovic;Petar Kokotovic.
Brief paper: An internal model principle is necessary and sufficient for linear output synchronization
Peter Wieland;Rodolphe Sepulchre;Frank Allgöwer.
Brief paper: Synchronization in networks of identical linear systems
Luca Scardovi;Rodolphe Sepulchre.
Collective Motion, Sensor Networks, and Ocean Sampling
N.E. Leonard;D.A. Paley;F. Lekien;R. Sepulchre.
Proceedings of the IEEE (2007)
Manopt, a matlab toolbox for optimization on manifolds
Nicolas Boumal;Bamdev Mishra;P.-A. Absil;Rodolphe Sepulchre.
Journal of Machine Learning Research (2014)
Synchronization in networks of identical linear systems
L. Scardovi;R. Sepulchre.
conference on decision and control (2008)
Generalized Power Method for Sparse Principal Component Analysis
Michel Journée;Yurii Nesterov;Peter Richtárik;Rodolphe Sepulchre.
Journal of Machine Learning Research (2010)
Stabilization of Planar Collective Motion: All-to-All Communication
R. Sepulchre;D.A. Paley;N.E. Leonard.
IEEE Transactions on Automatic Control (2007)
Stabilization of Planar Collective Motion With Limited Communication
R. Sepulchre;D.A. Paley;N.E. Leonard.
IEEE Transactions on Automatic Control (2008)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: