Projects per year
Personal profile
Personal profile
Dr Matteo Rubagotti obtained his PhD in Electronics, Computer Science and Electrical Engineering (track in Automatic Control) at the University of Pavia, Pavia, Italy, in 2010. Previously to his post at Nazarbayev University, he was lecturer at the University of Leicester, Leicester, UK, and postdoctoral fellow at the University of Trento, Trento, Italy, and at IMT Institute for Advanced Studies, Lucca, Italy. He also spent visiting periods at the Center for Automotive Research of The Ohio State University, OH, USA, and at the Automatic Control Lab, ETH Zurich, Zurich Switzerland.
Research interests
His research interests include model predictive control, sliding mode control, and the application of control and optimization algorithms to solve research problems in robotics (variable-impedance-actuated robots, parallel manipulators, tensegrity robots, and physical human-robot interaction).
External positions
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Motion Planning and Control of Tensegrity Robots
1/1/20 → 12/31/22
Project: Monitored by Research Administration
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Stochastic and learning-based predictive control methods for physical human-robot interaction.
Rubagotti, M., Sandygulova, A., Shintemirov, A., Yessenbayev, Z. & Summers, D.
1/1/20 → 12/31/22
Project: Monitored by Research Administration
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Hardware and Software Based Methods for Safe Human-Robot Interaction with Variable Impedance Robots
Varol, H. A., Rubagotti, M., Zhakatayev, A., Saudabayev, A., Massalin, Y., Adiyatov, O. & Moldagaliyeva, A.
3/20/18 → 12/31/20
Project: Monitored by Research Administration
Research output
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Adaptive super-twisting sliding mode control for maximum power point tracking of PMSG-based wind energy conversion systems
Zholtayev, D., Rubagotti, M. & Do, T. D., Jan 2022, In: Renewable Energy. 183, p. 877-889 13 p.Research output: Contribution to journal › Article › peer-review
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A General Framework for Switched and Variable Gain Higher Order Sliding Mode Control
Incremona, G. P., Rubagotti, M., Tanelli, M. & Ferrara, A., Apr 2021, In: IEEE Transactions on Automatic Control. 66, 4, p. 1718-1724 7 p., 9097956.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Constrained Nonlinear Discrete-Time Sliding Mode Control Based on a Receding Horizon Approach
Rubagotti, M., Incremona, G. P., Raimondo, D. M. & Ferrara, A., Aug 2021, In: IEEE Transactions on Automatic Control. 66, 8, p. 3802-3809 8 p., 9199109.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
End-to-End Deep Fault Tolerant Control
Baimukashev, D., Rakhim, B., Rubagotti, M. & Varol, H. A., 2021, (Accepted/In press) In: IEEE/ASME Transactions on Mechatronics.Research output: Contribution to journal › Article › peer-review
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Safety-Aware Nonlinear Model Predictive Control for Physical Human-Robot Interaction
Oleinikov, A., Kusdavletov, S., Shintemirov, A. & Rubagotti, M., Jul 2021, In: IEEE Robotics and Automation Letters. 6, 3, p. 5665-5672 8 p., 9440695.Research output: Contribution to journal › Article › peer-review