📄A. Das. A digital twin for controlling thermo-fluidic processes. PhD thesis, 2020.
Preprints (21)
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. Nonlinear Bandwidth and Bode Diagrams based on Scaled Relative Graphs. 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
📄 E. J. Olucha, P. J. Koelewijn, A. Das, R. Tóth. Automated Linear Parameter-Varying Modeling of Nonlinear Systems: A Global Embedding Approach. 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
📄 D. Selvaratnam, A. Moreschini, A. Das, T. Parisini, H. Sandberg. Frequency-Domain Bounds for the Multiconductor Telegrapher's Equation. 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.
📄 J. P. Krebbekx, R. Tóth, A. Das. Graphical Analysis of Nonlinear Multivariable Feedback Systems. arXiv preprint, 2025. Nonlinear Control
📄 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
📄 E. J. Olucha, R. Singh, A. Das, R. Tóth. On-the-fly Surrogation for Complex Nonlinear Dynamics. arXiv preprint, 2025. Nonlinear ControlMachine Learning
📄 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
📄 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, 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. Dual Representations and -Optimal Control of Partial Differential Equations. arXiv preprint, 2022. Control of PDEs
📄 S. Shivakumar, A. Das, M. Peet. -optimal control of coupled ODE-PDE systems using PIE framework and LPIs. arXiv preprint, 2022. Control of PDEs
📄 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
📄 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
📄 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.
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 (21)
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
📄 M. Aguiar, A. Das, K. H. Johansson. Learning flow functions of spiking systems. 6th Annual Learning for Dynamics & Control Conference, 2024. Machine Learning
📄 V. Gori, W. Hendrix, A. Das, Z. Sun. Effect of weight distribution and active safety systems on electric vehicle performance. Sensors, 2024.
2023
📄 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. Universal approximation of flows of control systems by recurrent neural networks. 2023 62nd IEEE Conference on Decision and Control (CDC), 2023. Machine Learning
📄 M. Aguiar, A. Das, K. H. Johansson. Learning Flow Functions from Data with Applications to Nonlinear Oscillators. IFAC-PapersOnLine, 2023. Nonlinear ControlMachine Learning
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
📄 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
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.
