
Alireza Karimi
EPFL STI IGM SCI-STI-AK
ME C2 407 (Bâtiment ME)
Station 9
1015 Lausanne
+41 21 693 59 25
Office: ME C2 407
EPFL › STI › IGM › SCI-STI-AK
Website: https://www.epfl.ch/labs/ddmac/
+41 21 693 59 25
Office: ME C2 407
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDRS-GE
Website: https://go.epfl.ch/phd-edrs
Expertise
Academic activities
Education
Automatic Control
| Robust and adaptive digital controller design1993 – 1997 Institut National Polytechnique de Grenoble
International Activities
- Member of IFAC Technical Committee on Linear Systems and Robust Control.
- Member of IEEE-CSS Technical Committee on System Identification and Adaptive Control.
- Member of Award Selection Committee of IFAC World Congress 2011.
- IPC member of several international conferences (CIFA 2006, IEEE-MED 2008, CIFA 2012, IFAC-PID 2012, IFAC-SSSC 2013, IFAC-ACE 2016, IFAC-SSSC 2016, IFAC-WC 2017).
- Member of the IEEE Control Systems Society’s Conference Editorial Board, since 2018.
- Associate Editor of IEEE Transactions on Control Systems Technology since 2026.
Research
Citation records
List of publications
International Benchmarks
- Design and Optimisation of Restricted Complexity Controllers (2003)
- Flexible Transmission Benchmark (1995)
Frequency-Domain Robust Controller Design Toolbox
Data-Driven Modelling and Control
Time-Domain Data-Driven Methods
Frequency-Domain Data-Driven Methods
Distributed Control of Smart Grids
Control Applications
Recently published book
PhD Students
Vaibhav Gupta, Mert Eyuboglu, Zhaoming Qin, Vishnu Varadan, Elias Sebastian Klauser, Mahdi Mehdikhani Sarvjahany
Past EPFL PhD Students
Zlatko Emedi, Mahdieh Sadat Sad Abadi, Achille Nicoletti, Christoph Manuel Kammer, Seyed Sohail Madani, Philippe Louis Schuchert
Ljubisa Miskovic, Daniel Garcia, Marc Kunze, Mark Edward John Butcher, Gorka Galdos Sanz de Galdeano, Klaske van Heusden, Navid Asmari Saadabad
Courses
Advanced control systems
This course covers some theoretical and practical aspects of robust and adaptive control. This includes H-2 and H-infinity control in model-based and data-driven framework by convex optimization, direct, indirect and switching adaptive control. The methods are implemented in a hands-on lab.
Control systems and discrete-time control
This course includes modelling and analysis of dynamic systems, basic principles and analysis of feedback control systems, controller design in frequency domain (loop shaping) and in state space (linear quadratic regulator), discrete-time systems and digital controller design (polynomial approach).
System identification
Identification of discrete-time linear models using experimental data is studied. The correlation method and spectral analysis are used to identify nonparametric models and the subspace and prediction error methods to estimate the plant and noise model parameters. Hands-on labs are included.