📄A. Das. A digital twin for controlling thermo-fluidic processes. PhD thesis, 2020.
Preprints (22)
2026
📄 E. J. Olucha, A. Sadeghzadeh, A. Das, R. Tóth. Bayesian Optimization Based Grid Point Allocation for LPV and Robust Control. arXiv preprint, 2026.
2025
📄 S. Shivakumar, D. Jagt, D. Braghini, A. Das, M. Peet. PIETOOLS 2024: User Manual. arXiv preprint, 2025.
📄 J. P. Krebbekx, R. Tóth, A. Das. Graphical analysis of nonlinear multivariable feedback systems. arXiv preprint, 2025. Nonlinear Control
📄 J. P. Krebbekx, R. Tóth, A. Das. Scaled Relative Graph Analysis of General Interconnections of SISO Nonlinear Systems. arXiv preprint, 2025. Nonlinear Control
📄 J. P. Krebbekx, R. Tóth, A. Das. Reset Controller Analysis and Design for Unstable Linear Plants using Scaled Relative Graphs. arXiv preprint, 2025. Nonlinear Control
📄 J. Rap, A. Das. On-traffic: An operator learning framework for online traffic flow estimation and uncertainty quantification from lagrangian sensors. arXiv preprint, 2025. Machine Learning
📄 D. Selvaratnam, A. Moreschini, A. Das, T. Parisini, H. Sandberg. Fault Localisation in Infinite-Dimensional Linear Electrical Networks. arXiv preprint, 2025. Control of PDEsFault Diagnosis
📄 D. Selvaratnam, A. Moreschini, A. Das, T. Parisini, H. Sandberg. Frequency-Domain Bounds for the Multiconductor Telegrapher's Equation. arXiv preprint, 2025.
📄 J. P. Krebbekx, E. Baron-Prada, R. Tóth, A. Das. Computing the Hard Scaled Relative Graph of LTI Systems. arXiv preprint, 2025. Nonlinear Control
📄 T. Lenssen, A. Talitckii, M. Peet, A. Das. A -Analysis and Synthesis Framework for Partial Integral Equations using IQCs. arXiv preprint, 2025.
📄 S. Toolhally, J. Roelofs, S. Weiland, A. Das. A Digital Twin of Evaporative Thermo-Fluidic Process in Fixation Unit of DoD Inkjet Printers. arXiv preprint, 2025.
📄 B. Terzin, E. J. Olucha, A. Das, S. Weiland, R. Tóth. Tensor-based reduction of linear parameter-varying state-space models. arXiv preprint, 2025.
📄 T. Meijer, A. Das, S. Weiland. Moving-Boundary Port-Hamiltonian Systems. arXiv preprint, 2025.
2024
📄 J. P. Krebbekx, R. Tóth, A. Das. Scaled Relative Graph Analysis of Lur’e Systems and the Generalized Circle Criterion. arXiv preprint, 2024. Nonlinear Control
📄 E. J. Olucha, B. Terzin, A. Das, R. Tóth. On the reduction of linear parameter-varying state-space models. arXiv preprint, 2024.
2022
📄 M. U. B. Niazi, J. Cao, X. Sun, A. Das, K. H. Johansson. Learning-based design of Luenberger observers for autonomous nonlinear systems. arXiv preprint, 2022. Nonlinear ControlMachine Learning
📄 S. Shivakumar, A. Das, S. Weiland, M. Peet. Dual representations and H∞-optimal control of partial differential equations. arXiv: 2208.13104, 2022. Control of PDEs
📄 S. Shivakumar, A. Das, S. Weiland, M. Peet. H∞-optimal control of coupled ODE-PDE systems using the PIE framework and LPIs. Technical report, arXiv. org. https://arxiv. org/abs/2208.13104, 2022. Control of PDEs
📄 S. Shivakumar, A. Das, M. Peet. Representation of linear PDEs with spatial integral terms as Partial Integral Equations. arXiv preprint, 2022. Control of PDEs
📄 S. Shivakumar, A. Das, M. Peet. Unknown Title. arXiv preprint, 2022.
📄 T. Chaffey, A. Das, R. Sepulchre. Splitting algorithms and circuit analysis. arXiv preprint, 2022.
2018
📄A. Das, S. Shivakumar, S. Weiland, M. Peet. Representation and stability analysis of pde-ode coupled systems. arXiv preprint, 2018. Control of PDEs
Book Chapters (2)
2024
📄A. Das, R. R. Kolluri, I. Mareels. Data industry. The Impact of Automatic Control Research on Industrial Innovation: Enabling a Sustainable Future, 2024.
2023
📄 A. Alleyne, F. Allgöwer, A. Ames, S. Amin, J. Anderson, A. Annaswamy, P. Antsaklis, N. Bagheri, H. Balakrishnan, B. Bamieh, J. Baras, M. Bauer, A. Bayen, P. Bogdan, S. L. Brunton, F. Bullo, E. Burdet, J. Burdick, L. Burlion, C. de Wit, M. Cao, C. Cassandras, A. Chakrabortty, G. Como, M. Csete, F. Dabbene, M. Dahleh, A. Das, E. Dassau, C. De Persis, M. di Bernardo, S. Di Cairano, D. Dimarogonas, F. Dörfler, J. Doyle, F. Doyle III, A. Dragan, M. Egerstedt, J. Eker, S. Fay, D. Filev, A. Fontan, E. Franco, M. Fujita, M. Garcia-Sanz, D. Gayme, W. P.M.H. Heemels, J. Hespanha, S. Hirche, A. Hosoi, J. How, G. Hug, M. Ilić, H. Ishii, A. Jadbabaie, M. Jafarian, S. Jia, T. Johansen, K. H. Johansson, D. Jones, M. Khammash, P. Khargonekar, M. Kochenderfer, A. Krause, A. Kuh, D. Kulić, F. Lamnabhi-Lagarrigue, N. Leonard, F. Leve, N. Li, S. Low, J. Lygeros, I. Mareels, S. Martinez, N. Matni, T. Menara, K. Mombaur, K. Moore, R. Murray, T. Namerikawa, A. Nedich, S. Neema, M. Netto, T. O’Leary, M. O’Malley, L. Pao, A. Papachristodoulou, G. Pappas, P. Paré, T. Parisini, F. Pasqualetti, M. Pavone, A. Rajhans, G. Ranade, A. Rantzer, L. Ratliff, J. A. Rossiter, D. Sadigh, T. Samad, H. Sandberg, S. Sarma, L. Schenato, J. Scherpen, A. Schoellig, R. Sepulchre, J. Shamma, R. Shorten, B. Sinopoli, K. Sreenath, J. Stoustrup, J. Sun, P. Tabuada, E. Tegling, D. Tilbury, C. Tomlin, J. Tumova, K. Wise, D. Work, J. Zafar, M. Zeilinger. Control for societal-scale challenges: Road map 2030. IEEE Control Systems Society, 2023.
Journals (5)
2024
📄 P. P. Khargonekar, T. Samad, S. Amin, A. Chakrabortty, F. Dabbene, A. Das, M. Fujita, M. Garcia-Sanz, D. F. Gayme, M. Ilić, I. Mareels, K. L. Moore, L. Y. Pao, A. Rajhans, J. Stoustrup, J. Zafar, M. Bauer. Climate change mitigation, adaptation, and resilience: Challenges and opportunities for the control systems community. IEEE Control Systems Magazine, 2024.
📄 S. Shivakumar, A. Das, S. Weiland, M. Peet. Extension of the partial integral equation representation to gpde input–output systems. IEEE Transactions on Automatic Control, 2024. Control of PDEs
2022
📄A. Das, T. Chaffey, R. Sepulchre. Oscillations in mixed-feedback systems. Systems & Control Letters, 2022, 2022. Nonlinear Control
2020
📄 R. J. v. Kampen, A. Das, S. Weiland, M. v. Berkel. A closed-form solution to estimate spatially varying parameters in heat and mass transport. IEEE Control Systems Letters, 2020. Control of PDEs
📄A. Das, M. Princen, M. Shokrpour, A. Khalate, S. Weiland. Soft Sensing Based In Situ Control of Thermo-Fluidic Processes in DoD Inkjet Printing. IEEE Transactions on Control Systems Technology, 2020.
Conferences (32)
2025
📄 J. P. Krebbekx, R. Tóth, A. Das. Nonlinear Bandwidth and Bode Diagrams based on Scaled Relative Graphs. 2025 IEEE 64th Conference on Decision and Control (CDC), 2025. Nonlinear Control
📄 E. J. Olucha, P. J. Koelewijn, A. Das, R. Tóth. Automated Linear Parameter-Varying Modeling of Nonlinear Systems: A Global Embedding Approach. IFAC-PapersOnLine, 2025. Nonlinear Control
📄 E. J. Olucha, R. Singh, A. Das, R. Tóth. On-the-fly Surrogation for Complex Nonlinear Dynamics*. 2025 IEEE 64th Conference on Decision and Control (CDC), 2025. Nonlinear ControlMachine Learning
2024
📄A. Das, J. Heiland. Low-order linear parameter varying approximations for nonlinear controller design for flows. 2024 European Control Conference (ECC), 2024. Nonlinear Control
📄 V. Gori, W. Hendrix, A. Das, Z. Sun. Effect of weight distribution and active safety systems on electric vehicle performance. Sensors, 2024.
📄 M. Aguiar, A. Das, K. H. Johansson. Learning flow functions of spiking systems. 6th Annual Learning for Dynamics & Control Conference, 2024. Machine Learning
📄 M. Aguiar. Amritam Das, and Karl H. Johansson. Learning flow functions of spiking systems. 242, 2024. Machine Learning
📄 M. v. Berkel, A. Das, H. Zwart, S. Weiland. Data-driven identification of non-linear distributed parameter systems. Data-driven identification of non-linear distributed parameter systems
M van Berkel, A Das, H Zwart, S Weiland
Related articles, 2024. Control of PDEsMachine Learning
📄 S. WEILAND, A. DAS. ADAPTIVE FAULT DIAGNOSIS IN METALJET BASED ADDITIVE MANUFACTURING. ADAPTIVE FAULT DIAGNOSIS IN METALJET BASED ADDITIVE MANUFACTURING
S WEILAND, A DAS
Related articles, 2024. Fault Diagnosis
📄 H. Yang, A. Das. PHYSICS-INFORMED LEARNING OF THE INKJET PRINTER FIXATION PROCESS. PHYSICS-INFORMED LEARNING OF THE INKJET PRINTER FIXATION PROCESS
H Yang, A Das
Related articles All 2 versions, 2024. Machine Learning
2023
📄 M. Aguiar, A. Das, K. H. Johansson. Universal approximation of flows of control systems by recurrent neural networks. 2023 62nd IEEE Conference on Decision and Control (CDC), 2023. Machine Learning
📄 D. Selvaratnam, A. Das, H. Sandberg. Electrical fault localisation over a distributed parameter transmission line. 2023 62nd IEEE Conference on Decision and Control (CDC), 2023. Control of PDEsFault Diagnosis
📄 M. Aguiar, A. Das, K. H. Johansson. Learning Flow Functions from Data with Applications to Nonlinear Oscillators. IFAC-PapersOnLine, 2023. Nonlinear ControlMachine Learning
📄 M. Aguiar. Unknown Title. 2023 62nd IEEE Conference on Decision and Control (CDC), 2023.
2022
📄 M. Aguiar, A. Das, K. H. Johansson. Unknown Title. 36th Conference on Neural Information Processing Systems (DLDE Workshop), 2022. Machine Learning
2021
📄 R. J. v. Kampen, A. Das, S. Weiland, M. v. Berkel. A closed-form solution to estimate space-dependent parameters in heat and mass transport. Physics@ Veldhoven 2021, 2021. Control of PDEs
📄 R. v. Kampen, A. Das, S. Weiland, M. v. Berkel. A Linear Least Squares Approach to Estimate Space-Dependent Parameters in Heat and Mass Transport. Benelux Workshop on Systems and Control 2021, 2021. Control of PDEs
📄 S. Shivakumar, A. Das, D. Jagt, M. Peet. PIETOOLS 2021a. http://control.asu.edu/pietools/, 2021.
2020
📄 S. Shivakumar, A. Das, M. M. Peet. PIETOOLS: A MATLAB toolbox for manipulation and optimization of partial integral operators. 2020 American Control Conference (ACC), 2020.
📄 S. Shivakumar, A. Das, S. Weiland, M. M. Peet. Duality and H∞-Optimal Control Of Coupled ODE-PDE Systems. 2020 59th IEEE Conference on Decision and Control (CDC), 2020. Control of PDEs
📄A. Das, S. Shivakumar, M. Peet, S. Weiland. Robust analysis of uncertain ODE-PDE systems using PI multipliers, PIEs and LPIs. 2020 59th IEEE conference on decision and control (CDC), 2020. Control of PDEs
📄 R. v. Kampen, A. Das, S. Weiland, M. v. Berkel. Complex Gaussian Process Regression for Estimating Spatially Varying Coefficients in Thermal Transport. 39th Benelux Meeting on Systems and Control 2020, 2020. Control of PDEsMachine Learning
📄 A. KHALATE. Soft Sensing Based In Situ Control of Thermo-Fluidic Processes in DoD Inkjet Printing. This paper introduces a closed-loop control strategy for maintaining consistency of ink temperature in commercial Drop on Demand (DoD) inkjet printing. No additional sensors or additional actuators are installed in the printhead while achieving the consistency in ink temperature. To this end, this paper presents a novel in situ sensing-actuation policy at every individual ink-nozzle, where the jetting mechanism has three distinct roles. It is used for jetting liquid droplet onto the print media based on the print-job. It is used as a softsensor to estimate the real-time liquid temperature of the jetting nozzle. While not jetting liquid, it is used as a heating actuator to minimize the gradient of liquid temperature among jetting nozzles. The soft-sensing based in situ controller is implemented in an experimentally validated digital twin that models the thermo-fluidic processes of the printhead. The digital twin is scalable and flexible to incorporate an arbitrary number of inknozzles, making the control strategy applicable for future designs of the printhead., 2020.
2019
📄 S. Shivakumar, A. Das, S. Weiland, M. M. Peet. A generalized LMI formulation for input-output analysis of linear systems of ODEs coupled with PDEs. 2019 IEEE 58th conference on decision and control (CDC), 2019. Control of PDEs
📄A. Das, S. Shivakumar, S. Weiland, M. M. Peet. ℋ∞ Optimal Estimation for Linear Coupled PDE Systems. 2019 IEEE 58th Conference on Decision and Control (CDC), 2019. Control of PDEsMachine Learning
📄 M. Peet, S. Shivakumar, A. Das, S. Weiland. Discussion Paper: A New Mathematical Framework for Representation and Analysis of Coupled PDEs. 3rd IFAC Workshop on Control of Systems Governed by Partial Differential Equations CPDE 2019: Oaxaca, Mexico, 20–24 May 2019, 2019. Control of PDEs
📄A. Das, S. Weiland, M. V. Berkel. Frequency domain estimation of spatially varying parameters in heat and mass transport. 2019 American Control Conference (ACC), 2019. Control of PDEsMachine Learning
📄 T. D. Hoang, A. Das, S. Koekebakker, S. Weiland. Sensorless Field-Oriented Estimation of Hybrid Stepper Motors in High-Performance Paper Handling. 2019 IEEE Conference on Control Technology and Applications (CCTA), 2019. Machine Learning
📄A. Das, S. Weiland. Unknown Title. https://hightechsystems.nl/artikel/modelgebaseerd-regelen-van-thermische-effecten-in-inkjetprinters/, 2019.
2018
📄A. Das, S. Weiland, L. Iapichino. Model approximation of thermo-fluidic diffusion processes in spatially interconnected structures. 2018 European Control Conference (ECC), 2018. Control of PDEs
2017
📄A. Das, Y. Kasemsinsup, S. Weiland. Optimal trajectory tracking control for automated guided vehicles. IFAC-PapersOnLine, 2017.
