Rushikesh Kamalapurkar

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 77

Top Venues

Publications

Zachary Morrison, Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
Dynamic Mode Decomposition of Control-Affine Nonlinear Systems Using Discrete Control Liouville Operators. IEEE Control. Syst. Lett. 8 (2024)
Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Kristy Waters, Rushikesh Kamalapurkar
An adaptive optimal control approach to monocular depth observability maximization. CoRR (2024)
Joel A. Rosenfeld, Benjamin P. Russo, Rushikesh Kamalapurkar, Taylor T. Johnson
The Occupation Kernel Method for Nonlinear System Identification. SIAM J. Control. Optim. 62 (3) (2024)
Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Rushikesh Kamalapurkar
State and Input Constrained Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems. CoRR (2024)
Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar
Scalar Field Mapping with Adaptive High-Intensity Region Avoidance. CoRR (2024)
Jared Town, Zachary Morrison, Rushikesh Kamalapurkar
Nonuniqueness and Convergence to Equivalent Solutions in Observer-based Inverse Reinforcement Learning. ACC (2023)
Efrain Gonzalez, Ladan Avazpour, Rushikesh Kamalapurkar, Joel A. Rosenfeld
. ACC (2023)
Joel A. Rosenfeld, Rushikesh Kamalapurkar
Convergent Dynamic Mode Decomposition. CDC (2023)
Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. ACC (2023)
Zachary Morrison, Benjamin P. Russo, Ying Zhao Lian, Rushikesh Kamalapurkar
Fault Detection via Occupation Kernel Principal Component Analysis. IEEE Control. Syst. Lett. 7 (2023)
Zachary Morrison, Benjamin P. Russo, Yingzhao Lian, Rushikesh Kamalapurkar
Fault Detection via Occupation Kernel Principal Component Analysis. CoRR (2023)
Joel A. Rosenfeld, Rushikesh Kamalapurkar
Singular Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 22 (3) (2023)
Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar
State and Parameter Estimation for Affine Nonlinear Systems. CoRR (2023)
Jared Town, Zachary Morrison, Rushikesh Kamalapurkar
Pilot Performance modeling via observer-based inverse reinforcement learning. CoRR (2023)
Tochukwu Elijah Ogri, S. M. Nahid Mahmud, Zachary I. Bell, Rushikesh Kamalapurkar
Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model. CCTA (2023)
Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar
State and Parameter Estimation for Affine Nonlinear Systems. CDC (2023)
Ryan Self, Moad Abudia, S. M. Nahid Mahmud, Rushikesh Kamalapurkar
Model-based inverse reinforcement learning for deterministic systems. Autom. 140 (2022)
Ashwin Dani, Zhen Kan, Rushikesh Kamalapurkar, Nicholas R. Gans
Editorial: Safety in Collaborative Robotics and Autonomous Systems. Future Internet 9 (2022)
Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. CoRR (2022)
S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning. CoRR (2022)
Jared Town, Zachary Morrison, Rushikesh Kamalapurkar
Nonuniqueness and Convergence to Equivalent Solutions in Observer-based Inverse Reinforcement Learning. CoRR (2022)
Tochukwu Elijah Ogri, S. M. Nahid Mahmud, Zachary I. Bell, Rushikesh Kamalapurkar
Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model. CoRR (2022)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson
Dynamic Mode Decomposition for Continuous Time Systems with the Liouville Operator. J. Nonlinear Sci. 32 (1) (2022)
Ashwin Dani, Zhen Kan, Rushikesh Kamalapurkar, Nicholas R. Gans
Editorial: Safety in Collaborative Robotics and Autonomous Systems. Frontiers Robotics AI 9 (2022)
Moad Abudia, Tejasvi Channagiri, Joel A. Rosenfeld, Rushikesh Kamalapurkar
Control Occupation Kernel Regression for Nonlinear Control-Affine Systems. CoRR (2021)
S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems. CoRR (2021)
Ghananeel Rotithor, Daniel Trombetta, Rushikesh Kamalapurkar, Ashwin P. Dani
Full- and Reduced-Order Observers for Image-Based Depth Estimation Using Concurrent Learning. IEEE Trans. Control. Syst. Technol. 29 (6) (2021)
Rushikesh Kamalapurkar, Joel A. Rosenfeld
An occupation kernel approach to optimal control. CoRR (2021)
S. M. Nahid Mahmud, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties. Frontiers Robotics AI 8 (2021)
Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
Online Observer-Based Inverse Reinforcement Learning. IEEE Control. Syst. Lett. 5 (6) (2021)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson
On Occupation Kernels, Liouville Operators, and Dynamic Mode Decomposition. ACC (2021)
Efrain Gonzalez, Moad Abudia, Michael Jury, Rushikesh Kamalapurkar, Joel A. Rosenfeld
Anti-Koopmanism. CoRR (2021)
Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
Online Observer-Based Inverse Reinforcement Learning. ACC (2021)
Joel A. Rosenfeld, Rushikesh Kamalapurkar
Singular Dynamic Mode Decompositions. CoRR (2021)
S. M. Nahid Mahmud, Katrine Hareland, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties. ACC (2021)
Ryan Self, S. M. Nahid Mahmud, Katrine Hareland, Rushikesh Kamalapurkar
Online inverse reinforcement learning with limited data. CoRR (2020)
S. M. Nahid Mahmud, Ryan Self, Katrine Hareland, Rushikesh Kamalapurkar
A safety aware model based reinforcement learning framework for systems with uncertainties. CoRR (2020)
Ryan Self, S. M. Nahid Mahmud, Katrine Hareland, Rushikesh Kamalapurkar
Online inverse reinforcement learning with limited data. CDC (2020)
Ghananeel Rotithor, Daniel Trombetta, Rushikesh Kamalapurkar, Ashwin Dani
Extension of Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning. CoRR (2020)
Ryan Self, Moad Abudia, Rushikesh Kamalapurkar
Online inverse reinforcement learning with unknown disturbances. CoRR (2020)
Max L. Greene, Moad Abudia, Rushikesh Kamalapurkar, Warren E. Dixon
Model-Based Reinforcement Learning for Optimal Feedback Control of Switched Systems. CDC (2020)
Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
Online Observer-Based Inverse Reinforcement Learning. CoRR (2020)
Moad Abudia, Michael Harlan, Ryan Self, Rushikesh Kamalapurkar
Switched Optimal Control and Dwell Time Constraints: A Preliminary Study. CoRR (2020)
Ryan Self, Moad Abudia, Rushikesh Kamalapurkar
Online inverse reinforcement learning for systems with disturbances. ACC (2020)
Moad Abudia, Michael Harlan, Ryan Self, Rushikesh Kamalapurkar
Switched Optimal Control and Dwell Time Constraints: A Preliminary Study. CDC (2020)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon
Invariance-Like Results for Nonautonomous Switched Systems. IEEE Trans. Autom. Control. 64 (2) (2019)
Ghananeel Rotithor, Daniel Trombetta, Rushikesh Kamalapurkar, Ashwin P. Dani
Reduced Order Observer for Structure from Motion using Concurrent Learning. CDC (2019)
Ryan Self, Michael Harlan, Rushikesh Kamalapurkar
Online inverse reinforcement learning for nonlinear systems. CCTA (2019)
Ghananeel Rotithor, Ryan Saltus, Rushikesh Kamalapurkar, Ashwin Dani
Observer Design for Structure from Motion using Concurrent Learning. ACC (2019)
Rushikesh Kamalapurkar
Output-feedback online optimal control for a class of nonlinear systems. CoRR (2019)
Ryan Self, Michael Harlan, Rushikesh Kamalapurkar
Model-based reinforcement learning for output-feedback optimal control of a class of nonlinear systems. ACC (2019)
Sandesh Thapa, Ryan V. Self, Rushikesh Kamalapurkar, He Bai
Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation. IEEE Control. Syst. Lett. 3 (4) (2019)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, Benjamin Russo, Taylor T. Johnson
Occupation Kernels and Densely Defined Liouville Operators for System Identification. CDC (2019)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
The State Following Approximation Method. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
Rushikesh Kamalapurkar, Justin R. Klotz, Patrick Walters, Warren E. Dixon
Model-Based Reinforcement Learning in Differential Graphical Games. IEEE Trans. Control. Netw. Syst. 5 (1) (2018)
Rushikesh Kamalapurkar
Linear inverse reinforcement learning in continuous time and space. ACC (2018)
Anup Parikh, Rushikesh Kamalapurkar, Warren E. Dixon
Target Tracking in the Presence of Intermittent Measurements via Motion Model Learning. IEEE Trans. Robotics 34 (3) (2018)
Patryk Deptula, Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
Approximate Dynamic Programming: Combining Regional and Local State Following Approximations. IEEE Trans. Neural Networks Learn. Syst. 29 (6) (2018)
Ryan Self, Michael Harlan, Rushikesh Kamalapurkar
Online inverse reinforcement learning for nonlinear systems. CoRR (2018)
Rushikesh Kamalapurkar
Inverse reinforcement learning in continuous time and space. CoRR (2018)
Patrick Walters, Rushikesh Kamalapurkar, Forrest Voight, Eric M. Schwartz, Warren E. Dixon
Online Approximate Optimal Station Keeping of a Marine Craft in the Presence of an Irrotational Current. IEEE Trans. Robotics 34 (2) (2018)
Rushikesh Kamalapurkar, Warren E. Dixon, Andrew R. Teel
On reduction of differential inclusions and Lyapunov stability. CDC (2017)
Rushikesh Kamalapurkar, Justin R. Klotz, Patrick Walters, Warren E. Dixon
Model-based reinforcement learning in differential graphical games. CoRR (2017)
Rushikesh Kamalapurkar
Online output-feedback parameter and state estimation for second order linear systems. ACC (2017)
Rushikesh Kamalapurkar, Benjamin Reish, Girish Chowdhary, Warren E. Dixon
Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators. IEEE Trans. Autom. Control. 62 (7) (2017)
Rushikesh Kamalapurkar, Warren E. Dixon, Andrew R. Teel
On reduction of differential inclusions and Lyapunov stability. CoRR (2017)
Rushikesh Kamalapurkar, Lindsey Andrews, Patrick Walters, Warren E. Dixon
Model-Based Reinforcement Learning for Infinite-Horizon Approximate Optimal Tracking. IEEE Trans. Neural Networks Learn. Syst. 28 (3) (2017)
Patrick Walters, Rushikesh Kamalapurkar, Forrest Voight, Eric M. Schwartz, Warren E. Dixon
Online Approximate Optimal Station Keeping of a Marine Craft in the Presence of a Current. CoRR (2017)
Rushikesh Kamalapurkar
Simultaneous State and Parameter Estimation for Second-Order Nonlinear Systems. CoRR (2017)
Rushikesh Kamalapurkar
Simultaneous state and parameter estimation for second-order nonlinear systems. CDC (2017)
Serhat Obuz, Justin R. Klotz, Rushikesh Kamalapurkar, Warren E. Dixon
Unknown time-varying input delay compensation for uncertain nonlinear systems. Autom. 76 (2017)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon
A Corollary for Switched Nonsmooth Systems with Applications to Switching in Adaptive Control. CoRR (2016)
Rushikesh Kamalapurkar, Patrick Walters, Warren E. Dixon
Model-based reinforcement learning for approximate optimal regulation. Autom. 64 (2016)
Teng-Hu Cheng, Qiang Wang, Rushikesh Kamalapurkar, Huyen T. Dinh, Matthew J. Bellman, Warren E. Dixon
Identification-Based Closed-Loop NMES Limb Tracking With Amplitude-Modulated Control Input. IEEE Trans. Cybern. 46 (7) (2016)
Rushikesh Kamalapurkar, Nicholas R. Fischer, Serhat Obuz, Warren E. Dixon
Time-Varying Input and State Delay Compensation for Uncertain Nonlinear Systems. IEEE Trans. Autom. Control. 61 (3) (2016)
Rushikesh Kamalapurkar
Online Output-Feedback Parameter and State Estimation for Second Order Linear Systems. CoRR (2016)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
Efficient model-based reinforcement learning for approximate online optimal control. Autom. 74 (2016)
Marcus Johnson, Rushikesh Kamalapurkar, Shubhendu Bhasin, Warren E. Dixon
Approximate N -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System. IEEE Trans. Neural Networks Learn. Syst. 26 (8) (2015)
Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
State following (StaF) kernel functions for function approximation Part I: Theory and motivation. ACC (2015)
Rushikesh Kamalapurkar, Nicholas R. Fischer, Serhat Obuz, Warren E. Dixon
Time-Varying Input and State Delay Compensation for Uncertain Nonlinear Systems. CoRR (2015)
Anup Parikh, Rushikesh Kamalapurkar, Warren E. Dixon
Integral Concurrent Learning: Adaptive Control with Parameter Convergence without PE or State Derivatives. CoRR (2015)
Rushikesh Kamalapurkar, Huyen T. Dinh, Shubhendu Bhasin, Warren E. Dixon
Approximate optimal trajectory tracking for continuous-time nonlinear systems. Autom. 51 (2015)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
Efficient model-based reinforcement learning for approximate online optimal. CoRR (2015)
Rushikesh Kamalapurkar, Lindsey Andrews, Patrick Walters, Warren E. Dixon
Model-based reinforcement learning for infinite-horizon approximate optimal tracking. CoRR (2015)
Anup Parikh, Rushikesh Kamalapurkar, Hsi-Yuan Chen, Warren E. Dixon
Homography based visual servo control with scene reconstruction. CDC (2015)
Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming. ACC (2015)
Rushikesh Kamalapurkar, Ben Reish, Girish Chowdhary, Warren E. Dixon
Concurrent learning for parameter estimation using dynamic state-derivative estimators. CoRR (2015)
Patrick Walters, Rushikesh Kamalapurkar, Warren E. Dixon
Approximate optimal online continuous-time path-planner with static obstacle avoidance. CDC (2015)
Patrick Walters, Rushikesh Kamalapurkar, Lindsey Andrews, Warren E. Dixon
Online approximate optimal path-following for a mobile robot. CDC (2014)
Rushikesh Kamalapurkar, Lindsey Andrews, Patrick Walters, Warren E. Dixon
Model-based reinforcement learning for infinite-horizon approximate optimal tracking. CDC (2014)
Rushikesh Kamalapurkar, Justin Klotz, Warren E. Dixon
Model-based reinforcement learning for on-line feedback-Nash equilibrium solution of N-player nonzero-sum differential games. ACC (2014)
Nicholas R. Fischer, Zhen Kan, Rushikesh Kamalapurkar, Warren E. Dixon
Saturated RISE Feedback Control for a Class of Second-Order Nonlinear Systems. IEEE Trans. Autom. Control. 59 (4) (2014)
Rushikesh Kamalapurkar, Justin Klotz, Warren E. Dixon
Concurrent learning-based online approximate feedback-Nash equilibrium solution of N-player nonzero-sum differential games. CoRR (2013)
Rushikesh Kamalapurkar, Justin Klotz, Ryan Downey, Warren E. Dixon
Supporting Lemmas for RISE-based Control Methods. CoRR (2013)
Rushikesh Kamalapurkar, Huyen T. Dinh, Patrick Walters, Warren E. Dixon
Approximate optimal cooperative decentralized control for consensus in a topological network of agents with uncertain nonlinear dynamics CoRR (2013)
Patrick Walters, Rushikesh Kamalapurkar, Lindsey Andrews, Warren E. Dixon
Online Approximate Optimal Path-Following for a Kinematic Unicycle. CoRR (2013)
Rushikesh Kamalapurkar, Huyen T. Dinh, Patrick Walters, Warren E. Dixon
Approximate optimal cooperative decentralized control for consensus in a topological network of agents with uncertain nonlinear dynamics. ACC (2013)
Rushikesh Kamalapurkar, Patrick Walters, Warren E. Dixon
Concurrent learning-based approximate optimal regulation CoRR (2013)
Rushikesh Kamalapurkar, Huyen T. Dinh, Shubhendu Bhasin, Warren E. Dixon
Approximately Optimal Trajectory Tracking for Continuous Time Nonlinear Systems CoRR (2013)
Rushikesh Kamalapurkar, Patrick Walters, Warren E. Dixon
Concurrent learning-based approximate optimal regulation. CDC (2013)

Rushikesh Kamalapurkar.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Rushikesh Kamalapurkar