Rushikesh Kamalapurkar

126 papers C 18Journal 91Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Taylor Series Approach to Correct Localization Errors in Robotic Field Mapping using Gaussian Processes. CoRR Muzaffar Qureshi, Tochukwu Elijah Ogri, Kyle Volle, Rushikesh Kamalapurkar
2026	J	`jnl`	Dynamic mode decomposition of higher order systems. Autom. Joel A. Rosenfeld, Benjamin P. Russo, Rushikesh Kamalapurkar
2026	J	`jnl`	Parallel OctoMapping: A Scalable Framework for Enhanced Path Planning in Autonomous Navigation. CoRR Yihui Mao, Tian Tan, Xuehui Shen, Warren E. Dixon, Rushikesh Kamalapurkar
2026	J	`jnl`	Stability and Sensitivity Analysis of Relative Temporal-Difference Learning: Extended Version. CoRR Masoud S. Sakha, Rushikesh Kamalapurkar, Sean Meyn
2025	J	`jnl`	A Switched Adaptive Control Approach to Reduce Sensing Needs in Trajectory Tracking Problems. IEEE Control. Syst. Lett. Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos, Wanjiku A. Makumi, Zachary I. Bell, Rushikesh Kamalapurkar
2025	J	`jnl`	An Output Feedback Approach to Differential Graphical Games in Linear Multiagent Systems. IEEE Control. Syst. Lett. Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Wanjiku A. Makumi, Rushikesh Kamalapurkar
2025	J	`jnl`	Approximate Dynamic Programming for Trajectory Tracking of Switched Systems. IEEE Trans. Autom. Control. Max L. Greene, Masoud S. Sakha, Rushikesh Kamalapurkar, Warren E. Dixon
2025	J	`jnl`	Gaussian Process-Based Scalar Field Estimation in GPS-Denied Environments. CoRR Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos, Zachary I. Bell, Rushikesh Kamalapurkar
2025	J	`jnl`	Improved Dwell-times for Switched Nonlinear Systems using Memory Regression Extension. CoRR Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos, Wanjiku A. Makumi, Zachary I. Bell, Rushikesh Kamalapurkar
2025	J	`jnl`	Lyapunov-Based Physics-Informed Deep Neural Networks with Skew Symmetry Considerations. CoRR Rebecca G. Hart, Wanjiku A. Makumi, Rushikesh Kamalapurkar, Warren E. Dixon
2025	C	`conf`	Monocular inspection of spacecraft under illumination constraints and avoidance regions. ACC Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Matthew Longmire, Rushikesh Kamalapurkar
2025	J	`jnl`	Monocular inspection of spacecraft under illumination constraints and avoidance regions. CoRR Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Matthew Longmire, Rushikesh Kamalapurkar
2025	J	`jnl`	Nonuniqueness and convergence to equivalent solutions in observer-based inverse reinforcement learning. Autom. Jared Town, Zachary Morrison, Rushikesh Kamalapurkar
2025	C	`conf`	On Dynamic Mode Decomposition of Control-Affine Systems. ACC Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2025	J	`jnl`	On Dynamic Mode Decomposition of Control-affine Systems. CoRR Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2025	J	`jnl`	On the embedding transformation for optimal control of multi-mode switched systems. CoRR Masoud S. Sakha, Rushikesh Kamalapurkar
2025	J	`jnl`	Safe Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems. CoRR Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Wanjiku A. Makumi, Rushikesh Kamalapurkar
2025	J	`jnl`	Saturated RISE Controllers With Exponential Stability Guarantees: A Projected Dynamical Systems Approach. IEEE Trans. Autom. Control. Omkar Sudhir Patil, Rushikesh Kamalapurkar, Warren E. Dixon
2025	J	`jnl`	Switched Optimal Control with Dwell Time Constraints. CoRR Masoud S. Sakha, Rushikesh Kamalapurkar
2024	C	`conf`	An Adaptive Optimal Control Approach to Monocular Depth Observability Maximization. ACC Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Kristy Waters, Rushikesh Kamalapurkar
2024	J	`jnl`	An adaptive optimal control approach to monocular depth observability maximization. CoRR Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Kristy Waters, Rushikesh Kamalapurkar
2024	J	`jnl`	Dynamic Mode Decomposition With Control Liouville Operators. IEEE Trans. Autom. Control. Joel A. Rosenfeld, Rushikesh Kamalapurkar
2024	J	`jnl`	Dynamic Mode Decomposition of Control-Affine Nonlinear Systems Using Discrete Control Liouville Operators. IEEE Control. Syst. Lett. Zachary Morrison, Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2024	J	`jnl`	On Convergent Dynamic Mode Decomposition and its Equivalence with Occupation Kernel Regression. CoRR Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2024	J	`jnl`	Pilot Performance Modeling via Observer-Based Inverse Reinforcement Learning. IEEE Trans. Control. Syst. Technol. Jared Town, Zachary Morrison, Rushikesh Kamalapurkar
2024	—	`conf`	Scalar Field Mapping with Adaptive High-Intensity Region Avoidance. CCTA Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar
2024	J	`jnl`	Scalar Field Mapping with Adaptive High-Intensity Region Avoidance. CoRR Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar
2024	J	`jnl`	State and Input Constrained Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems. CoRR Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Rushikesh Kamalapurkar
2024	J	`jnl`	The Kernel Perspective on Dynamic Mode Decomposition. Trans. Mach. Learn. Res. Efrain Gonzalez, Moad Abudia, Michael Jury, Rushikesh Kamalapurkar, Joel A. Rosenfeld
2024	J	`jnl`	The Occupation Kernel Method for Nonlinear System Identification. SIAM J. Control. Optim. Joel A. Rosenfeld, Benjamin P. Russo, Rushikesh Kamalapurkar, Taylor T. Johnson
2023	C	`conf`	Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. ACC Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2023	—	`conf`	Convergent Dynamic Mode Decomposition. CDC Joel A. Rosenfeld, Rushikesh Kamalapurkar
2023	J	`jnl`	Fault Detection via Occupation Kernel Principal Component Analysis. CoRR Zachary Morrison, Benjamin P. Russo, Yingzhao Lian, Rushikesh Kamalapurkar
2023	J	`jnl`	Fault Detection via Occupation Kernel Principal Component Analysis. IEEE Control. Syst. Lett. Zachary Morrison, Benjamin P. Russo, Ying Zhao Lian, Rushikesh Kamalapurkar
2023	C	`conf`	Modeling Partially Unknown Dynamics with Continuous Time DMD ACC Efrain Gonzalez, Ladan Avazpour, Rushikesh Kamalapurkar, Joel A. Rosenfeld
2023	C	`conf`	Nonuniqueness and Convergence to Equivalent Solutions in Observer-based Inverse Reinforcement Learning. ACC Jared Town, Zachary Morrison, Rushikesh Kamalapurkar
2023	—	`conf`	Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model. CCTA Tochukwu Elijah Ogri, S. M. Nahid Mahmud, Zachary I. Bell, Rushikesh Kamalapurkar
2023	J	`jnl`	Pilot Performance modeling via observer-based inverse reinforcement learning. CoRR Jared Town, Zachary Morrison, Rushikesh Kamalapurkar
2023	J	`jnl`	Singular Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. Joel A. Rosenfeld, Rushikesh Kamalapurkar
2023	—	`conf`	State and Parameter Estimation for Affine Nonlinear Systems. CDC Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar
2023	J	`jnl`	State and Parameter Estimation for Affine Nonlinear Systems. CoRR Tochukwu Elijah Ogri, Zachary I. Bell, Rushikesh Kamalapurkar
2022	J	`jnl`	Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. CoRR Moad Abudia, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2022	J	`jnl`	Dynamic Mode Decomposition for Continuous Time Systems with the Liouville Operator. J. Nonlinear Sci. Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson
2022	J	`jnl`	Editorial: Safety in Collaborative Robotics and Autonomous Systems. Frontiers Robotics AI Ashwin Dani, Zhen Kan, Rushikesh Kamalapurkar, Nicholas R. Gans
2022	J	`jnl`	Model-based inverse reinforcement learning for deterministic systems. Autom. Ryan Self, Moad Abudia, S. M. Nahid Mahmud, Rushikesh Kamalapurkar
2022	J	`jnl`	Nonuniqueness and Convergence to Equivalent Solutions in Observer-based Inverse Reinforcement Learning. CoRR Jared Town, Zachary Morrison, Rushikesh Kamalapurkar
2022	J	`jnl`	Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model. CoRR Tochukwu Elijah Ogri, S. M. Nahid Mahmud, Zachary I. Bell, Rushikesh Kamalapurkar
2022	J	`jnl`	Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning. CoRR S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
2021	C	`conf`	A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties. ACC S. M. Nahid Mahmud, Katrine Hareland, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
2021	J	`jnl`	An occupation kernel approach to optimal control. CoRR Rushikesh Kamalapurkar, Joel A. Rosenfeld
2021	J	`jnl`	Anti-Koopmanism. CoRR Efrain Gonzalez, Moad Abudia, Michael Jury, Rushikesh Kamalapurkar, Joel A. Rosenfeld
2021	J	`jnl`	Control Occupation Kernel Regression for Nonlinear Control-Affine Systems. CoRR Moad Abudia, Tejasvi Channagiri, Joel A. Rosenfeld, Rushikesh Kamalapurkar
2021	J	`jnl`	Full- and Reduced-Order Observers for Image-Based Depth Estimation Using Concurrent Learning. IEEE Trans. Control. Syst. Technol. Ghananeel Rotithor, Daniel Trombetta, Rushikesh Kamalapurkar, Ashwin P. Dani
2021	C	`conf`	On Occupation Kernels, Liouville Operators, and Dynamic Mode Decomposition. ACC Joel A. Rosenfeld, Rushikesh Kamalapurkar, L. Forest Gruss, Taylor T. Johnson
2021	C	`conf`	Online Observer-Based Inverse Reinforcement Learning. ACC Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
2021	J	`jnl`	Online Observer-Based Inverse Reinforcement Learning. IEEE Control. Syst. Lett. Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
2021	J	`jnl`	Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties. Frontiers Robotics AI S. M. Nahid Mahmud, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
2021	J	`jnl`	Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems. CoRR S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar
2021	J	`jnl`	Singular Dynamic Mode Decompositions. CoRR Joel A. Rosenfeld, Rushikesh Kamalapurkar
2020	J	`jnl`	A safety aware model based reinforcement learning framework for systems with uncertainties. CoRR S. M. Nahid Mahmud, Ryan Self, Katrine Hareland, Rushikesh Kamalapurkar
2020	J	`jnl`	Extension of Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning. CoRR Ghananeel Rotithor, Daniel Trombetta, Rushikesh Kamalapurkar, Ashwin Dani
2020	—	`conf`	Model-Based Reinforcement Learning for Optimal Feedback Control of Switched Systems. CDC Max L. Greene, Moad Abudia, Rushikesh Kamalapurkar, Warren E. Dixon
2020	J	`jnl`	Online Observer-Based Inverse Reinforcement Learning. CoRR Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar
2020	C	`conf`	Online inverse reinforcement learning for systems with disturbances. ACC Ryan Self, Moad Abudia, Rushikesh Kamalapurkar
2020	—	`conf`	Online inverse reinforcement learning with limited data. CDC Ryan Self, S. M. Nahid Mahmud, Katrine Hareland, Rushikesh Kamalapurkar
2020	J	`jnl`	Online inverse reinforcement learning with limited data. CoRR Ryan Self, S. M. Nahid Mahmud, Katrine Hareland, Rushikesh Kamalapurkar
2020	J	`jnl`	Online inverse reinforcement learning with unknown disturbances. CoRR Ryan Self, Moad Abudia, Rushikesh Kamalapurkar
2020	—	`conf`	Switched Optimal Control and Dwell Time Constraints: A Preliminary Study. CDC Moad Abudia, Michael Harlan, Ryan Self, Rushikesh Kamalapurkar
2020	J	`jnl`	Switched Optimal Control and Dwell Time Constraints: A Preliminary Study. CoRR Moad Abudia, Michael Harlan, Ryan Self, Rushikesh Kamalapurkar
2019	J	`jnl`	Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation. IEEE Control. Syst. Lett. Sandesh Thapa, Ryan V. Self, Rushikesh Kamalapurkar, He Bai
2019	J	`jnl`	Invariance-Like Results for Nonautonomous Switched Systems. IEEE Trans. Autom. Control. Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon
2019	C	`conf`	Model-based reinforcement learning for output-feedback optimal control of a class of nonlinear systems. ACC Ryan Self, Michael Harlan, Rushikesh Kamalapurkar
2019	C	`conf`	Observer Design for Structure from Motion using Concurrent Learning. ACC Ghananeel Rotithor, Ryan Saltus, Rushikesh Kamalapurkar, Ashwin Dani
2019	—	`conf`	Occupation Kernels and Densely Defined Liouville Operators for System Identification. CDC Joel A. Rosenfeld, Rushikesh Kamalapurkar, Benjamin Russo, Taylor T. Johnson
2019	—	`conf`	Online inverse reinforcement learning for nonlinear systems. CCTA Ryan Self, Michael Harlan, Rushikesh Kamalapurkar
2019	J	`jnl`	Output-feedback online optimal control for a class of nonlinear systems. CoRR Rushikesh Kamalapurkar
2019	—	`conf`	Reduced Order Observer for Structure from Motion using Concurrent Learning. CDC Ghananeel Rotithor, Daniel Trombetta, Rushikesh Kamalapurkar, Ashwin P. Dani
2019	J	`jnl`	The State Following Approximation Method. IEEE Trans. Neural Networks Learn. Syst. Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
2018	J	`jnl`	Approximate Dynamic Programming: Combining Regional and Local State Following Approximations. IEEE Trans. Neural Networks Learn. Syst. Patryk Deptula, Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
2018	J	`jnl`	Inverse reinforcement learning in continuous time and space. CoRR Rushikesh Kamalapurkar
2018	C	`conf`	Linear inverse reinforcement learning in continuous time and space. ACC Rushikesh Kamalapurkar
2018	J	`jnl`	Model-Based Reinforcement Learning in Differential Graphical Games. IEEE Trans. Control. Netw. Syst. Rushikesh Kamalapurkar, Justin R. Klotz, Patrick Walters, Warren E. Dixon
2018	J	`jnl`	Online Approximate Optimal Station Keeping of a Marine Craft in the Presence of an Irrotational Current. IEEE Trans. Robotics Patrick Walters, Rushikesh Kamalapurkar, Forrest Voight, Eric M. Schwartz, Warren E. Dixon
2018	J	`jnl`	Online inverse reinforcement learning for nonlinear systems. CoRR Ryan Self, Michael Harlan, Rushikesh Kamalapurkar
2018	J	`jnl`	Target Tracking in the Presence of Intermittent Measurements via Motion Model Learning. IEEE Trans. Robotics Anup Parikh, Rushikesh Kamalapurkar, Warren E. Dixon
2017	J	`jnl`	Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators. IEEE Trans. Autom. Control. Rushikesh Kamalapurkar, Benjamin Reish, Girish Chowdhary, Warren E. Dixon
2017	J	`jnl`	Model-Based Reinforcement Learning for Infinite-Horizon Approximate Optimal Tracking. IEEE Trans. Neural Networks Learn. Syst. Rushikesh Kamalapurkar, Lindsey Andrews, Patrick Walters, Warren E. Dixon
2017	J	`jnl`	Model-based reinforcement learning in differential graphical games. CoRR Rushikesh Kamalapurkar, Justin R. Klotz, Patrick Walters, Warren E. Dixon
2017	—	`conf`	On reduction of differential inclusions and Lyapunov stability. CDC Rushikesh Kamalapurkar, Warren E. Dixon, Andrew R. Teel
2017	J	`jnl`	On reduction of differential inclusions and Lyapunov stability. CoRR Rushikesh Kamalapurkar, Warren E. Dixon, Andrew R. Teel
2017	J	`jnl`	Online Approximate Optimal Station Keeping of a Marine Craft in the Presence of a Current. CoRR Patrick Walters, Rushikesh Kamalapurkar, Forrest Voight, Eric M. Schwartz, Warren E. Dixon
2017	C	`conf`	Online output-feedback parameter and state estimation for second order linear systems. ACC Rushikesh Kamalapurkar
2017	J	`jnl`	Simultaneous State and Parameter Estimation for Second-Order Nonlinear Systems. CoRR Rushikesh Kamalapurkar
2017	—	`conf`	Simultaneous state and parameter estimation for second-order nonlinear systems. CDC Rushikesh Kamalapurkar
2017	J	`jnl`	Unknown time-varying input delay compensation for uncertain nonlinear systems. Autom. Serhat Obuz, Justin R. Klotz, Rushikesh Kamalapurkar, Warren E. Dixon
2016	J	`jnl`	A Corollary for Switched Nonsmooth Systems with Applications to Switching in Adaptive Control. CoRR Rushikesh Kamalapurkar, Joel A. Rosenfeld, Anup Parikh, Andrew R. Teel, Warren E. Dixon
2016	J	`jnl`	Efficient model-based reinforcement learning for approximate online optimal control. Autom. Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
2016	J	`jnl`	Identification-Based Closed-Loop NMES Limb Tracking With Amplitude-Modulated Control Input. IEEE Trans. Cybern. Teng-Hu Cheng, Qiang Wang, Rushikesh Kamalapurkar, Huyen T. Dinh, Matthew J. Bellman, Warren E. Dixon
2016	J	`jnl`	Model-based reinforcement learning for approximate optimal regulation. Autom. Rushikesh Kamalapurkar, Patrick Walters, Warren E. Dixon
2016	J	`jnl`	Online Output-Feedback Parameter and State Estimation for Second Order Linear Systems. CoRR Rushikesh Kamalapurkar
2016	J	`jnl`	Time-Varying Input and State Delay Compensation for Uncertain Nonlinear Systems. IEEE Trans. Autom. Control. Rushikesh Kamalapurkar, Nicholas R. Fischer, Serhat Obuz, Warren E. Dixon
2015	J	`jnl`	Approximate N -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System. IEEE Trans. Neural Networks Learn. Syst. Marcus Johnson, Rushikesh Kamalapurkar, Shubhendu Bhasin, Warren E. Dixon
2015	—	`conf`	Approximate optimal online continuous-time path-planner with static obstacle avoidance. CDC Patrick Walters, Rushikesh Kamalapurkar, Warren E. Dixon
2015	J	`jnl`	Approximate optimal trajectory tracking for continuous-time nonlinear systems. Autom. Rushikesh Kamalapurkar, Huyen T. Dinh, Shubhendu Bhasin, Warren E. Dixon
2015	J	`jnl`	Concurrent learning for parameter estimation using dynamic state-derivative estimators. CoRR Rushikesh Kamalapurkar, Ben Reish, Girish Chowdhary, Warren E. Dixon
2015	J	`jnl`	Efficient model-based reinforcement learning for approximate online optimal. CoRR Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
2015	—	`conf`	Homography based visual servo control with scene reconstruction. CDC Anup Parikh, Rushikesh Kamalapurkar, Hsi-Yuan Chen, Warren E. Dixon
2015	J	`jnl`	Integral Concurrent Learning: Adaptive Control with Parameter Convergence without PE or State Derivatives. CoRR Anup Parikh, Rushikesh Kamalapurkar, Warren E. Dixon
2015	J	`jnl`	Model-based reinforcement learning for infinite-horizon approximate optimal tracking. CoRR Rushikesh Kamalapurkar, Lindsey Andrews, Patrick Walters, Warren E. Dixon
2015	C	`conf`	State following (StaF) kernel functions for function approximation Part I: Theory and motivation. ACC Joel A. Rosenfeld, Rushikesh Kamalapurkar, Warren E. Dixon
2015	C	`conf`	State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming. ACC Rushikesh Kamalapurkar, Joel A. Rosenfeld, Warren E. Dixon
2015	J	`jnl`	Time-Varying Input and State Delay Compensation for Uncertain Nonlinear Systems. CoRR Rushikesh Kamalapurkar, Nicholas R. Fischer, Serhat Obuz, Warren E. Dixon
2014	—	`conf`	Model-based reinforcement learning for infinite-horizon approximate optimal tracking. CDC Rushikesh Kamalapurkar, Lindsey Andrews, Patrick Walters, Warren E. Dixon
2014	C	`conf`	Model-based reinforcement learning for on-line feedback-Nash equilibrium solution of N-player nonzero-sum differential games. ACC Rushikesh Kamalapurkar, Justin Klotz, Warren E. Dixon
2014	—	`conf`	Online approximate optimal path-following for a mobile robot. CDC Patrick Walters, Rushikesh Kamalapurkar, Lindsey Andrews, Warren E. Dixon
2014	J	`jnl`	Saturated RISE Feedback Control for a Class of Second-Order Nonlinear Systems. IEEE Trans. Autom. Control. Nicholas R. Fischer, Zhen Kan, Rushikesh Kamalapurkar, Warren E. Dixon
2013	J	`jnl`	Approximate optimal cooperative decentralized control for consensus in a topological network of agents with uncertain nonlinear dynamics CoRR Rushikesh Kamalapurkar, Huyen T. Dinh, Patrick Walters, Warren E. Dixon
2013	C	`conf`	Approximate optimal cooperative decentralized control for consensus in a topological network of agents with uncertain nonlinear dynamics. ACC Rushikesh Kamalapurkar, Huyen T. Dinh, Patrick Walters, Warren E. Dixon
2013	J	`jnl`	Approximately Optimal Trajectory Tracking for Continuous Time Nonlinear Systems CoRR Rushikesh Kamalapurkar, Huyen T. Dinh, Shubhendu Bhasin, Warren E. Dixon
2013	J	`jnl`	Concurrent learning-based approximate optimal regulation CoRR Rushikesh Kamalapurkar, Patrick Walters, Warren E. Dixon
2013	—	`conf`	Concurrent learning-based approximate optimal regulation. CDC Rushikesh Kamalapurkar, Patrick Walters, Warren E. Dixon
2013	J	`jnl`	Concurrent learning-based online approximate feedback-Nash equilibrium solution of N-player nonzero-sum differential games. CoRR Rushikesh Kamalapurkar, Justin Klotz, Warren E. Dixon
2013	J	`jnl`	LaSalle-Yoshizawa Corollaries for Nonsmooth Systems. IEEE Trans. Autom. Control. Nicholas R. Fischer, Rushikesh Kamalapurkar, Warren E. Dixon
2013	J	`jnl`	Online Approximate Optimal Path-Following for a Kinematic Unicycle. CoRR Patrick Walters, Rushikesh Kamalapurkar, Lindsey Andrews, Warren E. Dixon
2013	J	`jnl`	Online Approximate Optimal Station Keeping of an Autonomous Underwater Vehicle. CoRR Patrick Walters, Rushikesh Kamalapurkar, Warren E. Dixon
2013	J	`jnl`	Supporting Lemmas for RISE-based Control Methods. CoRR Rushikesh Kamalapurkar, Justin Klotz, Ryan Downey, Warren E. Dixon