Shankar Deka
Assistant Professor
Department of Electrical Engineering and Automation
Assistant Professor
Nonlinear Systems and Control
I am an Assistant Professor in the department of Electrical Engineering and Automation, where I lead the Nonlinear Systems and Control research group. I am also affiliated to the Finnish Center for Artificial Intelligence (FCAI).
My research interest lies in synergistically combining nonlinear stability theory, optimal control, and machine learning, towards creating robotic and learning-enabled systems that are certifiably safe and robust. Application areas include telerobotic surgery, precision agriculture, and human-multirobot systems.
Full researcher profile
https://research.aalto.fi/...
E-post
[email protected]
Kompetensområde
Nonlinear systems, Data-driven techniques, Stability theory, Robust control, Telerobotic surgery, Agricultural robotics, Machine Learning, Optimal control
Forskningsgrupp
- Nonlinear Systems and Control
Publikationer
Robotic mirror therapy for stroke rehabilitation through virtual activities of daily living
Harris Nisar, Srikar Annamraju, Shankar A. Deka, Anne Horowitz, Dušan M. Stipanović
2024
Computational and Structural Biotechnology Journal
Convexifying State-Constrained Optimal Control Problem
Shankar A. Deka, Claire J. Tomlin, Donggun Lee
2023
IEEE Transactions on Automatic Control
Navigation in Time-Varying Densities: An Operator Theoretic Approach
Shankar A. Deka, Umesh Vaidya, Dimos V. Dimarogonas
2023
2023 European Control Conference (ECC)
Path-Integral Formula for Computing Koopman Eigenfunctions
Shankar Deka, Umesh Vaidya
2023
62nd IEEE Conference of Decision and Control
Supervised Learning of Lyapunov Functions Using Laplace Averages of Approximate Koopman Eigenfunctions
Shankar A. Deka, Dimos V. Dimarogonas
2023
IEEE Control Systems Letters
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks
Shankar A. Deka, Dušan M. Stipanović, Claire J. Tomlin
2022
IEEE Transactions on Control Systems Technology
Koopman-based Neural Lyapunov functions for general attractors
Shankar A. Deka, Claire J. Tomlin, Alonso M. Valle
2022
2022 IEEE 61st Conference on Decision and Control (CDC)
Towards Cyber–Physical Systems Robust to Communication Delays: A Differential Game Approach
Shankar A. Deka, Donggun Lee, Claire J. Tomlin
2022
IEEE Control Systems Letters
Feedback-Control Based Adversarial Attacks on Recurrent Neural Networks
Shankar A. Deka, Dušan M. Stipanović, Claire J. Tomlin
2020
2020 59th IEEE Conference on Decision and Control (CDC)
Avoidance Control with Relative Velocity Information for Lagrangian Dynamics
Wenxue Zhang, Erick J. Rodríguez-Seda, Shankar A. Deka, Massinissa Amrouche, Di Zhou, Dušan M. Stipanović, George Leitmann
2020
Journal of Intelligent and Robotic Systems: Theory and Applications
Global Asymptotic Stability and Stabilization of Long Short-Term Memory Neural Networks with Constant Weights and Biases
Shankar A. Deka, Dušan M. Stipanović, Boris Murmann, Claire J. Tomlin
2019
Journal of Optimization Theory and Applications
Long-Short Term Memory Neural Network Stability and Stabilization using Linear Matrix Inequalities
Shankar A. Deka, Dušan M. Stipanović, Boris Murmann, Claire J. Tomlin
2019
2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Stable Bilateral Teleoperation With Bounded Control
Shankar A. Deka, Dušan M. Stipanović, Thenkurussi Kesavadas
2019
IEEE Transactions on Control Systems Technology
Long short-term memory neural network equilibria computation and analysis
Massinissa Amrouche, Shankar Deka, Aleksandra Lekic, Vicenc Rubio Royo, Elaina Teresa Chai, Dušan M. Stipanović, Boris Murmann, Claire J. Tomlin
2018
Spatiotemporal Workshop, 32nd Annual Conference on Neural Information Processing Systems (NeurIPS)
Robust and Safe Coordination of Multiple Robotic Manipulators
Shankar A. Deka, Dušan M. Stipanović, Thenkurussi Kesavadas, Xiao Li
2018
Journal of Intelligent and Robotic Systems: Theory and Applications