R. Kamalapurkar
Orcid: 0000-0001-9963-5361
According to our database1,
R. Kamalapurkar
authored at least 93 papers
between 2011 and 2025.
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Collaborative distances:
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Bibliography
2025
Nonuniqueness and convergence to equivalent solutions in observer-based inverse reinforcement learning.
Autom., 2025
2024
IEEE Trans. Autom. Control., December, 2024
IEEE Trans. Control. Syst. Technol., November, 2024
SIAM J. Control. Optim., 2024
Dynamic Mode Decomposition of Control-Affine Nonlinear Systems Using Discrete Control Liouville Operators.
IEEE Control. Syst. Lett., 2024
On Convergent Dynamic Mode Decomposition and its Equivalence with Occupation Kernel Regression.
CoRR, 2024
State and Input Constrained Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems.
CoRR, 2024
Proceedings of the IEEE Conference on Control Technology and Applications, 2024
Proceedings of the American Control Conference, 2024
2023
IEEE Control. Syst. Lett., 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
2022
J. Nonlinear Sci., 2022
Frontiers Robotics AI, 2022
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning.
CoRR, 2022
2021
Full- and Reduced-Order Observers for Image-Based Depth Estimation Using Concurrent Learning.
IEEE Trans. Control. Syst. Technol., 2021
Frontiers Robotics AI, 2021
IEEE Control. Syst. Lett., 2021
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems.
CoRR, 2021
CoRR, 2021
Proceedings of the 2021 American Control Conference, 2021
A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties.
Proceedings of the 2021 American Control Conference, 2021
2020
Extension of Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning.
CoRR, 2020
A safety aware model based reinforcement learning framework for systems with uncertainties.
CoRR, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Autom. Control., 2019
Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation.
IEEE Control. Syst. Lett., 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Occupation Kernels and Densely Defined Liouville Operators for System Identification.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019
Model-based reinforcement learning for output-feedback optimal control of a class of nonlinear systems.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Online Approximate Optimal Station Keeping of a Marine Craft in the Presence of an Irrotational Current.
IEEE Trans. Robotics, 2018
Target Tracking in the Presence of Intermittent Measurements via Motion Model Learning.
IEEE Trans. Robotics, 2018
Approximate Dynamic Programming: Combining Regional and Local State Following Approximations.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Control. Netw. Syst., 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Model-Based Reinforcement Learning for Infinite-Horizon Approximate Optimal Tracking.
IEEE Trans. Neural Networks Learn. Syst., 2017
Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators.
IEEE Trans. Autom. Control., 2017
Online Approximate Optimal Station Keeping of a Marine Craft in the Presence of a Current.
CoRR, 2017
Autom., 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Online output-feedback parameter and state estimation for second order linear systems.
Proceedings of the 2017 American Control Conference, 2017
2016
Identification-Based Closed-Loop NMES Limb Tracking With Amplitude-Modulated Control Input.
IEEE Trans. Cybern., 2016
IEEE Trans. Autom. Control., 2016
A Corollary for Switched Nonsmooth Systems with Applications to Switching in Adaptive Control.
CoRR, 2016
Autom., 2016
2015
Approximate N -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System.
IEEE Trans. Neural Networks Learn. Syst., 2015
Integral Concurrent Learning: Adaptive Control with Parameter Convergence without PE or State Derivatives.
CoRR, 2015
CoRR, 2015
Autom., 2015
Approximate optimal online continuous-time path-planner with static obstacle avoidance.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
State following (StaF) kernel functions for function approximation Part I: Theory and motivation.
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming.
Proceedings of the American Control Conference, 2015
2014
IEEE Trans. Autom. Control., 2014
Neural Networks, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Adaptive dynamic programming for terminally constrained finite-horizon optimal control problems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the American Control Conference, 2014
Model-based reinforcement learning for on-line feedback-Nash equilibrium solution of N-player nonzero-sum differential games.
Proceedings of the American Control Conference, 2014
2013
IEEE Trans. Autom. Control., 2013
IEEE Trans. Autom. Control., 2013
CoRR, 2013
CoRR, 2013
Concurrent learning-based online approximate feedback-Nash equilibrium solution of N-player nonzero-sum differential games.
CoRR, 2013
A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems.
Autom., 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Approximate optimal cooperative decentralized control for consensus in a topological network of agents with uncertain nonlinear dynamics.
Proceedings of the American Control Conference, 2013
Output feedback control for uncertain nonlinear systems with slowly varying input delay.
Proceedings of the American Control Conference, 2013
2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Lyapunov-based control of an uncertain Euler-Lagrange system with time-varying input delay.
Proceedings of the American Control Conference, 2012
2011
Dynamic neural network-based robust observers for second-order uncertain nonlinear systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011