Philippe Müllhaupt
Nationality: Swiss & Irish
+41 21 693 38 38
EPFL › STI › STI-SGM › SGM-ENS
+41 21 693 38 38
EPFL › SB › SB-SPH › SPH-ENS
Website: https://sph.epfl.ch/
+41 21 693 38 38
EPFL › STI › STI-SEL › SEL-ENS
Expertise
Classical Dynamics
Robotics
Statistics
Mission
Current Work
Education
Ing�nieur
| Electricit�1993 – 1993 EPFL
DEA
| Automatique et Traitement du Signal1994 – 1994 Paris-Sud
Doctorat
| Automatique1999 – 1999 EPFL
Professionals experiences
Post-Doc
Researcher and Lecturer
Scientist
Scientist
Scientist
Researcher and Lecturer
Academic Promotion
Inventory management and follow-ups
Publications
Teaching & PhD
Past EPFL PhD Students as codirector
Robert Fuchs, Davide Buccieri, Yvan Michellod, Willson Sudarsandhari Shibani, Basile Graf, David Ingram, Ehsan Sarshari
Courses
Discrete-time control of dynamical systems
ME-324
An introduction to linear discrete-time control systems is provided which consists in applying a control at equally spaced time intervals. The consequence of the associated sampling process on the stability and performance of the closed-loop system is analysed in detail.
Elements of statistics for data science
EE-209
Estimation theory: maximum likelihood estimation, Fisher information. Cramer-Rao inequality. Confidence intervals. Hypotheses testing: Neyman-Pearson framework. Maximum likelihood test. Parametric and non parametric tests. Bayesian inference. Linear Models.
General physics : mechanics
PHYS-101(d)
Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools.
Introduction to control of dynamical systems
ME-273
Introductory course on control of dynamical systems. Four key systems serve as the backbone to a unified abstract formalism. This formalism is then used to solve fundamental control problems such as tracking and disturbance rejection, with particular emphasis on guaranteeing closed-loop stability
Linear system theory
EE-611
The course covers control theory and design for linear time-invariant systems : (i) Mathematical descriptions of systems (ii) Multivariables realizations; (iii) Stability ; (iv) Controllability and Observability; (v) Minimal realizations and coprime fractions; (vi) Pole placement and model matching.
Microinformatique (pour GM)
ME-303
Understand Microcontrollers and learn to use them, especially for mechanical systems.
Nonlinear Control Systems
ME-523
Analysis of nonlinear systems is performed towards controlling them. Stability in the sense of Lyapunov is introduced, together with geometrical methods (Exact Feedback Linearization). Various examples are treated (pen and pencil, and computer).