Assistant Professor of Spatio-Temporal Control Systems

Amritam Das - Publication List

PhD Thesis

  1. Amritam Das. A digital twin for controlling thermo-fluidic processes. PhD thesis. Technische Universiteit Eindhoven, ISBN: 978-90-386-5140-8, 2020.[Link] Control of PDEs

Peer-Reviewed Book Chapters

  1. Amritam Das, Ramachandra Rao Kolluri, Iven Mareels. Data industry. The Impact of Automatic Control Research on Industrial Innovation: Enabling a Sustainable Future, John Wiley & Sons, Inc., pages 13-41, Print ISBN:9781119983613, Online ISBN:9781119983644, 2024. [DOI]
  2. Andrew Alleyne, Frank Allgöwer, Aaron D. Ames, Saurabh Amin, James Anderson, Anuradha M. Annaswamy (Editor), Panos J. Antsaklis, Neda Bagheri, Hamsa Balakrishnan, Bassam Bamieh, John Baras, Margret Bauer, Alexandre Bayen, Paul Bogdan, Steven L. Brunton, Francesco Bullo, Etienne Burdet, Joel Burdick, Laurent Burlion, Carlos Canudas de Wit, Ming Cao, Christos G. Cassandras, Aranya Chakrabortty, Giacomo Como, Marie Csete, Fabrizio Dabbene, Munther Dahleh, Amritam Das, Eyal Dassau, Claudio De Persis, Mario di Bernardo, Stefano Di Cairano, Dimos Dimarogonas, Florian Dörfler, John C. Doyle, Francis J. Doyle III, Anca Dragan, Magnus Egerstedt, Johan Eker, Sarah Fay, Dimitar Filev, Angela Fontan, Elisa Franco, Masayuki Fujita, Mario Garcia-Sanz, Dennice Gayme, W.P.M.H. Heemels, João P. Hespanha, Sandra Hirche, Anette Hosoi, Jonathan P. How, Gabriela Hug, Marija Ilić, Hideaki Ishii, Ali Jadbabaie, Matin Jafarian, Samuel Qing-Shan Jia, Tor Johansen, Karl H. Johansson (Editor), Dalton Jones, Mustafa Khammash, Pramod Khargonekar, Mykel J. Kochenderfer, Andreas Krause, Anthony Kuh, Dana Kulić, Françoise Lamnabhi-Lagarrigue, Naomi E. Leonard, Frederick Leve, Na Li, Steven Low, John Lygeros, Iven Mareels, Sonia Martinez, Nikolai Matni, Tommaso Menara, Katja Mombaur, Kevin Moore, Richard Murray, Toru Namerikawa, Angelia Nedich, Sandeep Neema, Mariana Netto, Timothy O’Leary, Marcia K. O’Malley, Lucy Y. Pao, Antonis Papachristodoulou, George J. Pappas (Editor), Philip E. Paré, Thomas Parisini, Fabio Pasqualetti, Marco Pavone, Akshay Rajhans, Gireeja Ranade, Anders Rantzer, Lillian Ratliff, J. Anthony Rossiter, Dorsa Sadigh, Tariq Samad, Henrik Sandberg, Sri Sarma, Luca Schenato, Jacquelien Scherpen, Angela Schoellig, Rodolphe Sepulchre, Jeff Shamma, Robert Shorten, Bruno Sinopoli, Koushil Sreenath, Jakob Stoustrup, Jing Sun, Paulo Tabuada, Emma Tegling, Dawn Tilbury, Claire J. Tomlin, Jana Tumova, Kevin Wise, Dan Work, Junaid Zafar, and Melanie Zeilinger. Climate Change Mitigation and Adaptation. Control for Societal-scale Challenges: Road Map 2030. 2023. [Link]

Journal Pre-Prints

  1. Jake Rap and Amritam Das. On-traffic: An operator learning framework for online traffic flow estimation and uncertainty quantification from Lagrangian sensors. Under Review in IEEE Transactions on Intelligent Transportation Systems. 2025. [arXiv:2503.14053] Machine Learning
  2. Tomas Meijer, Amritam Das, and Siep Weiland. Moving-boundary port-hamiltonian systems. Under Review in Automatica. 2025. [arXiv:2501.14930] Control of PDEs
  3. Daniel Selvaratnam, Alessio Moreschini, Amritam Das, Thomas Parisini, and Henrik Sandberg. Fault localisation in infinite-dimensional linear electrical networks. Under Review in IEEE Transactions on Automatic Control. 2025. [arXiv:2504.04910] Fault Diagnosis
  4. Daniel Selvaratnam, Alessio Moreschini, Amritam Das, Thomas Parisini, and Henrik Sandberg. Frequency-domain bounds for the multiconductor telegrapher’s equation. Under Review in IEEE Transactions on Circuits and Systems II. 2025. [arXiv:2504.01599] Control of PDEs

Peer-Reviewed Journal Articles

  1. Sachin Shivakumar, Amritam Das, and Matthew Peet. Dual Representation and H∞-Optimal Control Of Partial Differential Equations. Accepted in IEEE Transactions on Automatic Control, 2025. [arXiv:2208.13104] Control of PDEs
  2. Sachin Shivakumar, Amritam Das, Siep Weiland, and Matthew Peet. Extension of the partial integral equation representation to gpde input-output systems. IEEE Transactions on Automatic Control, vol. 70, no. 5, pages 3240-3255, 2025. [DOI], [Extended version] Control of PDEs
  3. Valerio Gori, Will Hendrix, Amritam Das, and Zhiyong Sun. Effect of weight distribution and active safety systems on electric vehicle performance. Sensors, 24(11):3557, 2024. [DOI] Nonlinear Control
  4. Pramod P Khargonekar, Tariq Samad, Saurabh Amin, Aranya Chakrabortty, Fabrizio Dabbene, Amritam Das, Masayuki Fujita, Mario Garcia-Sanz, Dennice F. Gayme, Marija Ilić, Iven Mareels, Kevin L. Moore, Lucy Y. Pao, Akshay Rajhans, Jakob Stoustrup, Junaid Zafar, Margret Bauer. Climate change mitigation, adaptation, and resilience: Challenges and opportunities for the control systems community. IEEE Control Systems Magazine, 44(3):33–51, 2024. [DOI] Machine Learning
  5. Amritam Das, Thomas Chaffey, and Rodolphe Sepulchre. Oscillations in mixed-feedback systems. Systems & Control Letters, Volume 166, 105289, ISSN 0167-6911,2022. [DOI] Nonlinear Control
  6. Amritam Das, Martijn Princen, Mahnaz Shokrpour, Amol Khalate, and Siep Weiland. Soft sensing based in situ control of thermo-fluidic processes in dod inkjet printing. IEEE Transactions on Control Systems Technology, vol. 30, no. 3, pages 956-971, 2022. [DOI] Control of PDEs
  7. Ricky JR van Kampen, Amritam Das, Siep Weiland, and Matthijs van Berkel. A closed-form solution to estimate spatially varying parameters in heat and mass transport. IEEE Control Systems Letters, 5(5):1681–1686, 2020. [DOI] Control of PDEs

Conference pre-prints

  1. E Javier Olucha, Rajiv Singh, Amritam Das, and Roland Tóth. On-the-fly surrogation for complex nonlinear dynamics. Under Review in 64th Conference on Decision and Control (CDC). 2025. [arXiv:2504.00276] Nonlinear Control
  2. Julius PJ Krebbekx, Roland Tóth, and Amritam Das. Nonlinear bandwidth and bode diagrams based on scaled relative graphs. Under Review in 64th Conference on Decision and Control (CDC). 2025. [arXiv:2504.01585] Nonlinear Control
  3. E Javier Olucha, Bogoljub Terzin, Amritam Das, and Roland Tóth. On the reduction of linear parameter-varying state-space models. 2024. [arXiv:2404.01871] Nonlinear Control
  4. Amritam Das, Sachin Shivakumar, Siep Weiland, and Matthew Peet. Representation and stability analysis of pde-ode coupled systems. 2018. [arXiv:1812.07186] Control of PDEs

Peer-Reviewed Conference Articles

  1. E Javier Olucha, Patrick JW Koelewijn, Amritam Das, and Roland Tóth. Automated linear parameter-varying modeling of nonlinear systems: A global embedding approach. 11th IFAC Symposium on Robust Control Design (ROCOND’25) and 6th IFAC Workshop on Linear Parameter Varying Systems (LPVS’25). 2025. [arXiv:2502.13082] Nonlinear Control
  2. Julius PJ Krebbekx, Roland Tóth, and Amritam Das. Scaled relative graph analysis of Lur’e systems and the generalized circle criterion. 22nd European Control Conference (ECC). 2024. [arXiv:2411.18318] Nonlinear Control
  3. Miguel Aguiar, Amritam Das, and Karl H Johansson. Learning flow functions of spiking systems. 6th Annual Learning for Dynamics & Control Conference. PMLR, 242:591–602, 2024. [Link] Machine Learning
  4. Amritam Das and Jan Heiland. Low-order linear parameter varying approximations for nonlinear controller design for flows. 22nd European Control Conference (ECC). IEEE, pages 2065–2070, 2024. [DOI] Nonlinear Control
  5. Muhammad Umar B Niazi, John Cao, Xudong Sun, Amritam Das, and Karl Henrik Johansson. Learning-based design of Luenberger observers for autonomous nonlinear systems. 2023 American Control Conference (ACC). IEEE, pages 3048–3055, 2023. [DOI] Nonlinear Control Machine Learning
  6. Sachin Shivakumar, Amritam Das, and Matthew Peet. Representation of linear PDEs with spatial integral terms as Partial Integral Equations. 2023 American Control Conference (ACC). IEEE, pages 1788-1793, 2023. [DOI] Control of PDEs
  7. Daniel Selvaratnam, Amritam Das, and Henrik Sandberg. Electrical fault localisation over a distributed parameter transmission line. 62nd IEEE Conference on Decision and Control (CDC). IEEE, pages 7088–7093, 2023. [DOI] Fault Diagnosis
  8. Miguel Aguiar, Amritam Das, and Karl H Johansson. Universal approximation of flows of control systems by recurrent neural networks. 62nd IEEE Conference on Decision and Control (CDC). IEEE, pages 2320–2327, 2023. [DOI] Machine Learning
  9. Miguel Aguiar, Amritam Das, and Karl H Johansson. Learning flow functions from data with applications to nonlinear oscillators. 22nd IFAC World Congress. IFAC-PapersOnLine, 56(2):4088–4093, 2023. [DOI] Machine Learning
  10. Miguel Aguiar, Amritam Das, and Karl H. Johansson. Learning flows of control systems. 36th Conference on Neural Information Processing Systems (DLDE Workshop). OpenReview, 2022. [Link] Machine Learning
  11. Thomas Chaffey, Amritam Das, and Rodolphe Sepulchre. Splitting algorithms and circuit analysis. 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS) (non-acrhival). 2022. [arXiv:2208.04765] Nonlinear Control
  12. Ricky JR van Kampen, Amritam Das, Siep Weiland, and Matthijs van Berkel. A closed-form solution to estimate spatially varying parameters in heat and mass transport. 2021 American Control Conference (ACC), IEEE, pages 286-291, 2021. [DOI] Control of PDEs
  13. Amritam Das, Sachin Shivakumar, Matthew Peet, and Siep Weiland. Robust analysis of uncertain ode-pde systems using pi multipliers, pies and lpis. 59th IEEE conference on decision and control (CDC). IEEE, pages 634–639, 2020. [DOI] Control of PDEs
  14. Sachin Shivakumar, Amritam Das, Matthew Peet, and Siep Weiland. Duality and H∞-Optimal Control Of Coupled ODE-PDE Systems. 59th IEEE conference on decision and control (CDC). IEEE, pages 5689-5696, 2020. [DOI] Control of PDEs
  15. Sachin Shivakumar, Amritam Das, and Matthew Peet. PIETOOLS: A Matlab Toolbox for Manipulation and Optimization of Partial Integral Operators. 2020 American Control Conference (ACC). IEEE, pages 2667-2672, 2020. [DOI] Control of PDEs
  16. Amritam Das, Sachin Shivakumar, Siep Weiland, and Matthew M Peet. H∞-optimal estimation for linear coupled pde systems. 58th Conference on Decision and Control (CDC). IEEE, pages 262–267, 2019. [DOI] Control of PDEs
  17. Sachin Shivakumar, Amritam Das, Siep Weiland, and Matthew M Peet. A generalized LMI formulation for input-output analysis of linear systems of ODEs coupled with PDEs. 58th Conference on Decision and Control (CDC). IEEE, pages 280-285, 2019. [DOI] Control of PDEs
  18. Tuan Dat Hoang, Amritam Das, Sjirk Koekebakker, and Siep Weiland. Sensorless field-oriented estimation of hybrid stepper motors in high-performance paper handling. 2019 IEEE Conference on Control Technology and Applications (CCTA). IEEE,pages 252–257, 2019. [DOI] Nonlinear Control
  19. Amritam Das, Siep Weiland, and Matthijs Van Berkel. Frequency domain estimation of spatially varying parameters in heat and mass transport. 2019 American Control Conference (ACC). IEEE, pages 600–605, 2019. [DOI] Control of PDEs
  20. Amritam Das, Siep Weiland, and Laura Iapichino. Model approximation of thermo-fluidic diffusion processes in spatially interconnected structures. 16th European Control Conference (ECC). IEEE, pages 2653–2658, 2018. [DOI] Control of PDEs
  21. Amritam Das, Yanin Kasemsinsup, and Siep Weiland. Optimal trajectory tracking control for automated guided vehicles. 20th IFAC World Congress, Toulouse, France. IFAC-PapersOnLine, 50(1):303–308, 2017. [DOI] Nonlinear Control

Software and Tools

  1. Sachin Shivakumar, Declan Jagt, Danilo Braghini, Amritam Das, and Matthew Peet. Pietools 2024, 2025. [Link], [User manual] Control of PDEs
  2. Sachin Shivakumar, Amritam Das, Declan Jagt, and Matthew Peet. Pietools 2021a, 2021. [Link] Control of PDEs

Popular Science

  1. Amritam Das and Siep Weiland. Modelgebaseerd regelen van thermische effecten in inkjetprinters, 2019. [Link] Nonlinear Control Control of PDEs