Dynamic neural network-based robust observers for second-order uncertain nonlinear systems. - Huyen T. Dinh; R. Kamalapurkar; Shubhendu Bhasin; Warren E. Dixon (CDC/ECC, 2011)

Lyapunov-based control of an uncertain Euler-Lagrange system with time-varying input delay. - Nicholas R. Fischer; R. Kamalapurkar; Norman G. Fitz-Coy; Warren E. Dixon (ACC, 2012)

RISE-based control of an uncertain nonlinear system with time-varying state delays. - Nicholas R. Fischer; R. Kamalapurkar; Nitin Sharma 001; Warren E. Dixon (CDC, 2012)

Output feedback control for uncertain nonlinear systems with slowly varying input delay. - Huyen T. Dinh; Nicholas R. Fischer; R. Kamalapurkar; Warren E. Dixon (ACC, 2013)

Approximate optimal cooperative decentralized control for consensus in a topological network of agents with uncertain nonlinear dynamics. - Rushikesh Kamalapurkar; Huyen T. Dinh; Patrick Walters; Warren E. Dixon (ACC, 2013)

Concurrent learning-based approximate optimal regulation. - Rushikesh Kamalapurkar; Patrick Walters; Warren E. Dixon (CDC, 2013)

A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems. - Shubhendu Bhasin; R. Kamalapurkar; Marcus Johnson; Kyriakos G. Vamvoudakis; Frank L. Lewis; Warren E. Dixon (Autom., 2013)

Concurrent learning-based online approximate feedback-Nash equilibrium solution of N-player nonzero-sum differential games. - Rushikesh Kamalapurkar; Justin Klotz; Warren E. Dixon (CoRR, 2013)

Supporting Lemmas for RISE-based Control Methods. - Rushikesh Kamalapurkar; Justin Klotz; Ryan Downey; Warren E. Dixon (CoRR, 2013)

Online Approximate Optimal Path-Following for a Kinematic Unicycle. - Patrick Walters; Rushikesh Kamalapurkar; Lindsey Andrews; Warren E. Dixon (CoRR, 2013)

Online Approximate Optimal Station Keeping of an Autonomous Underwater Vehicle. - Patrick Walters; Rushikesh Kamalapurkar; Warren E. Dixon (CoRR, 2013)

Approximately Optimal Trajectory Tracking for Continuous Time Nonlinear Systems - Rushikesh Kamalapurkar; Huyen T. Dinh; Shubhendu Bhasin; Warren E. Dixon (CoRR, 2013)

Robust Identification-Based State Derivative Estimation for Nonlinear Systems. - Shubhendu Bhasin; R. Kamalapurkar; Huyen T. Dinh; Warren E. Dixon (IEEE Trans. Autom. Control., 2013)

LaSalle-Yoshizawa Corollaries for Nonsmooth Systems. - Nicholas R. Fischer; Rushikesh Kamalapurkar; Warren E. Dixon (IEEE Trans. Autom. Control., 2013)

Model-based reinforcement learning for on-line feedback-Nash equilibrium solution of N-player nonzero-sum differential games. - Rushikesh Kamalapurkar; Justin Klotz; Warren E. Dixon (ACC, 2014)

Concurrent learning-based network synchronization. - Justin Klotz; R. Kamalapurkar; Warren E. Dixon (ACC, 2014)

Adaptive dynamic programming for terminally constrained finite-horizon optimal control problems. - Lindsey Andrews; Justin Klotz; R. Kamalapurkar; Warren E. Dixon (CDC, 2014)

Online approximate optimal path-following for a mobile robot. - Patrick Walters; Rushikesh Kamalapurkar; Lindsey Andrews; Warren E. Dixon (CDC, 2014)

Dynamic neural network-based robust observers for uncertain nonlinear systems. - Huyen T. Dinh; R. Kamalapurkar; Shubhendu Bhasin; Warren E. Dixon (Neural Networks, 2014)

Saturated RISE Feedback Control for a Class of Second-Order Nonlinear Systems. - Nicholas R. Fischer; Zhen Kan; Rushikesh Kamalapurkar; Warren E. Dixon (IEEE Trans. Autom. Control., 2014)

State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming. - Rushikesh Kamalapurkar; Joel A. Rosenfeld; Warren E. Dixon (ACC, 2015)

Decentralized monitoring of leader-follower networks of uncertain nonlinear systems. - Justin R. Klotz; Lindsey Andrews; R. Kamalapurkar; Warren E. Dixon (ACC, 2015)

State following (StaF) kernel functions for function approximation Part I: Theory and motivation. - Joel A. Rosenfeld; Rushikesh Kamalapurkar; Warren E. Dixon (ACC, 2015)

Homography based visual servo control with scene reconstruction. - Anup Parikh; Rushikesh Kamalapurkar; Hsi-Yuan Chen; Warren E. Dixon (CDC, 2015)

Approximate optimal online continuous-time path-planner with static obstacle avoidance. - Patrick Walters; Rushikesh Kamalapurkar; Warren E. Dixon (CDC, 2015)

Approximate optimal trajectory tracking for continuous-time nonlinear systems. - Rushikesh Kamalapurkar; Huyen T. Dinh; Shubhendu Bhasin; Warren E. Dixon (Autom., 2015)

Efficient model-based reinforcement learning for approximate online optimal. - Rushikesh Kamalapurkar; Joel A. Rosenfeld; Warren E. Dixon (CoRR, 2015)

Integral Concurrent Learning: Adaptive Control with Parameter Convergence without PE or State Derivatives. - Anup Parikh; Rushikesh Kamalapurkar; Warren E. Dixon (CoRR, 2015)

Approximate N -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System. - Marcus Johnson; Rushikesh Kamalapurkar; Shubhendu Bhasin; Warren E. Dixon (IEEE Trans. Neural Networks Learn. Syst., 2015)

Efficient model-based reinforcement learning for approximate online optimal control. - Rushikesh Kamalapurkar; Joel A. Rosenfeld; Warren E. Dixon (Autom., 2016)

Model-based reinforcement learning for approximate optimal regulation. - Rushikesh Kamalapurkar; Patrick Walters; Warren E. Dixon (Autom., 2016)

A Corollary for Switched Nonsmooth Systems with Applications to Switching in Adaptive Control. - Rushikesh Kamalapurkar; Joel A. Rosenfeld; Anup Parikh; Andrew R. Teel; Warren E. Dixon (CoRR, 2016)

Time-Varying Input and State Delay Compensation for Uncertain Nonlinear Systems. - Rushikesh Kamalapurkar; Nicholas R. Fischer; Serhat Obuz; Warren E. Dixon (IEEE Trans. Autom. Control., 2016)

Identification-Based Closed-Loop NMES Limb Tracking With Amplitude-Modulated Control Input. - Teng-Hu Cheng; Qiang Wang 057; Rushikesh Kamalapurkar; Huyen T. Dinh; Matthew J. Bellman; Warren E. Dixon (IEEE Trans. Cybern., 2016)

Online output-feedback parameter and state estimation for second order linear systems. - Rushikesh Kamalapurkar (ACC, 2017)

Simultaneous state and parameter estimation for second-order nonlinear systems. - Rushikesh Kamalapurkar (CDC, 2017)

On reduction of differential inclusions and Lyapunov stability. - Rushikesh Kamalapurkar; Warren E. Dixon; Andrew R. Teel (CDC, 2017)

Unknown time-varying input delay compensation for uncertain nonlinear systems. - Serhat Obuz; Justin R. Klotz; Rushikesh Kamalapurkar; Warren E. Dixon (Autom., 2017)

Online Approximate Optimal Station Keeping of a Marine Craft in the Presence of a Current. - Patrick Walters; Rushikesh Kamalapurkar; Forrest Voight; Eric M. Schwartz; Warren E. Dixon (CoRR, 2017)

Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators. - Rushikesh Kamalapurkar; Benjamin Reish; Girish Chowdhary 001; Warren E. Dixon (IEEE Trans. Autom. Control., 2017)

Model-Based Reinforcement Learning for Infinite-Horizon Approximate Optimal Tracking. - Rushikesh Kamalapurkar; Lindsey Andrews; Patrick Walters; Warren E. Dixon (IEEE Trans. Neural Networks Learn. Syst., 2017)

Linear inverse reinforcement learning in continuous time and space. - Rushikesh Kamalapurkar (ACC, 2018)

Inverse reinforcement learning in continuous time and space. - Rushikesh Kamalapurkar (CoRR, 2018)

Model-Based Reinforcement Learning in Differential Graphical Games. - Rushikesh Kamalapurkar; Justin R. Klotz; Patrick Walters; Warren E. Dixon (IEEE Trans. Control. Netw. Syst., 2018)

Approximate Dynamic Programming: Combining Regional and Local State Following Approximations. - Patryk Deptula; Joel A. Rosenfeld; Rushikesh Kamalapurkar; Warren E. Dixon (IEEE Trans. Neural Networks Learn. Syst., 2018)

Target Tracking in the Presence of Intermittent Measurements via Motion Model Learning. - Anup Parikh; Rushikesh Kamalapurkar; Warren E. Dixon (IEEE Trans. Robotics, 2018)

Online Approximate Optimal Station Keeping of a Marine Craft in the Presence of an Irrotational Current. - Patrick Walters; Rushikesh Kamalapurkar; Forrest Voight; Eric M. Schwartz; Warren E. Dixon (IEEE Trans. Robotics, 2018)

Observer Design for Structure from Motion using Concurrent Learning. - Ghananeel Rotithor; Ryan Saltus; Rushikesh Kamalapurkar; Ashwin Dani (ACC, 2019)

Model-based reinforcement learning for output-feedback optimal control of a class of nonlinear systems. - Ryan Self; Michael Harlan; Rushikesh Kamalapurkar (ACC, 2019)

Online inverse reinforcement learning for nonlinear systems. - Ryan Self; Michael Harlan; Rushikesh Kamalapurkar (CCTA, 2019)

Occupation Kernels and Densely Defined Liouville Operators for System Identification. - Joel A. Rosenfeld; Rushikesh Kamalapurkar; Benjamin Russo; Taylor T. Johnson (CDC, 2019)

Reduced Order Observer for Structure from Motion using Concurrent Learning. - Ghananeel Rotithor; Daniel Trombetta; Rushikesh Kamalapurkar; Ashwin P. Dani (CDC, 2019)

Output-feedback online optimal control for a class of nonlinear systems. - Rushikesh Kamalapurkar (CoRR, 2019)

Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation. - Sandesh Thapa; Ryan V. Self; Rushikesh Kamalapurkar; He Bai 001 (IEEE Control. Syst. Lett., 2019)

Invariance-Like Results for Nonautonomous Switched Systems. - Rushikesh Kamalapurkar; Joel A. Rosenfeld; Anup Parikh; Andrew R. Teel; Warren E. Dixon (IEEE Trans. Autom. Control., 2019)

The State Following Approximation Method. - Joel A. Rosenfeld; Rushikesh Kamalapurkar; Warren E. Dixon (IEEE Trans. Neural Networks Learn. Syst., 2019)

Online inverse reinforcement learning for systems with disturbances. - Ryan Self; Moad Abudia; Rushikesh Kamalapurkar (ACC, 2020)

Switched Optimal Control and Dwell Time Constraints: A Preliminary Study. - Moad Abudia; Michael Harlan; Ryan Self; Rushikesh Kamalapurkar (CDC, 2020)

Model-Based Reinforcement Learning for Optimal Feedback Control of Switched Systems. - Max L. Greene; Moad Abudia; Rushikesh Kamalapurkar; Warren E. Dixon (CDC, 2020)

Online inverse reinforcement learning with limited data. - Ryan Self; S. M. Nahid Mahmud; Katrine Hareland; Rushikesh Kamalapurkar (CDC, 2020)

Online inverse reinforcement learning with unknown disturbances. - Ryan Self; Moad Abudia; Rushikesh Kamalapurkar (CoRR, 2020)

A safety aware model based reinforcement learning framework for systems with uncertainties. - S. M. Nahid Mahmud; Ryan Self; Katrine Hareland; Rushikesh Kamalapurkar (CoRR, 2020)

Extension of Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning. - Ghananeel Rotithor; Daniel Trombetta; Rushikesh Kamalapurkar; Ashwin Dani (CoRR, 2020)

A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties. - S. M. Nahid Mahmud; Katrine Hareland; Scott A. Nivison; Zachary I. Bell; Rushikesh Kamalapurkar (ACC, 2021)

On Occupation Kernels, Liouville Operators, and Dynamic Mode Decomposition. - Joel A. Rosenfeld; Rushikesh Kamalapurkar; L. Forest Gruss; Taylor T. Johnson (ACC, 2021)

Control Occupation Kernel Regression for Nonlinear Control-Affine Systems. - Moad Abudia; Tejasvi Channagiri; Joel A. Rosenfeld; Rushikesh Kamalapurkar (CoRR, 2021)

Anti-Koopmanism. - Efrain Gonzalez; Moad Abudia; Michael Jury; Rushikesh Kamalapurkar; Joel A. Rosenfeld (CoRR, 2021)

An occupation kernel approach to optimal control. - Rushikesh Kamalapurkar; Joel A. Rosenfeld (CoRR, 2021)

Singular Dynamic Mode Decompositions. - Joel A. Rosenfeld; Rushikesh Kamalapurkar (CoRR, 2021)

Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems. - S. M. Nahid Mahmud; Moad Abudia; Scott A. Nivison; Zachary I. Bell; Rushikesh Kamalapurkar (CoRR, 2021)

Online Observer-Based Inverse Reinforcement Learning. - Ryan Self; Kevin Coleman; He Bai 001; Rushikesh Kamalapurkar (IEEE Control. Syst. Lett., 2021)

Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties. - S. M. Nahid Mahmud; Scott A. Nivison; Zachary I. Bell; Rushikesh Kamalapurkar (Frontiers Robotics AI, 2021)

Full- and Reduced-Order Observers for Image-Based Depth Estimation Using Concurrent Learning. - Ghananeel Rotithor; Daniel Trombetta; Rushikesh Kamalapurkar; Ashwin P. Dani (IEEE Trans. Control. Syst. Technol., 2021)

Model-based inverse reinforcement learning for deterministic systems. - Ryan Self; Moad Abudia; S. M. Nahid Mahmud; Rushikesh Kamalapurkar (Autom., 2022)

Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning. - S. M. Nahid Mahmud; Moad Abudia; Scott A. Nivison; Zachary I. Bell; Rushikesh Kamalapurkar (CoRR, 2022)

Editorial: Safety in Collaborative Robotics and Autonomous Systems. - Ashwin Dani; Zhen Kan; Rushikesh Kamalapurkar; Nicholas R. Gans (Frontiers Robotics AI, 2022)

Dynamic Mode Decomposition for Continuous Time Systems with the Liouville Operator. - Joel A. Rosenfeld; Rushikesh Kamalapurkar; L. Forest Gruss; Taylor T. Johnson (J. Nonlinear Sci., 2022)

Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds. - Moad Abudia; Joel A. Rosenfeld; Rushikesh Kamalapurkar (ACC, 2023)

Modeling Partially Unknown Dynamics with Continuous Time DMD*. - Efrain Gonzalez; Ladan Avazpour; Rushikesh Kamalapurkar; Joel A. Rosenfeld (ACC, 2023)

Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model. - Tochukwu Elijah Ogri; S. M. Nahid Mahmud; Zachary I. Bell; Rushikesh Kamalapurkar (CCTA, 2023)

State and Parameter Estimation for Affine Nonlinear Systems. - Tochukwu Elijah Ogri; Zachary I. Bell; Rushikesh Kamalapurkar (CDC, 2023)

Convergent Dynamic Mode Decomposition. - Joel A. Rosenfeld; Rushikesh Kamalapurkar (CDC, 2023)

Fault Detection via Occupation Kernel Principal Component Analysis. - Zachary Morrison; Benjamin P. Russo; Ying Zhao Lian; Rushikesh Kamalapurkar (IEEE Control. Syst. Lett., 2023)

Singular Dynamic Mode Decomposition. - Joel A. Rosenfeld; Rushikesh Kamalapurkar (SIAM J. Appl. Dyn. Syst., 2023)

An Adaptive Optimal Control Approach to Monocular Depth Observability Maximization. - Tochukwu Elijah Ogri; Muzaffar Qureshi; Zachary I. Bell; Kristy Waters; Rushikesh Kamalapurkar (ACC, 2024)

Scalar Field Mapping with Adaptive High-Intensity Region Avoidance. - Muzaffar Qureshi; Tochukwu Elijah Ogri; Zachary I. Bell; Rushikesh Kamalapurkar (CCTA, 2024)

State and Input Constrained Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems. - Tochukwu Elijah Ogri; Muzaffar Qureshi; Zachary I. Bell; Rushikesh Kamalapurkar (CoRR, 2024)

On Convergent Dynamic Mode Decomposition and its Equivalence with Occupation Kernel Regression. - Moad Abudia; Joel A. Rosenfeld; Rushikesh Kamalapurkar (CoRR, 2024)

Dynamic Mode Decomposition of Control-Affine Nonlinear Systems Using Discrete Control Liouville Operators. - Zachary Morrison; Moad Abudia; Joel A. Rosenfeld; Rushikesh Kamalapurkar (IEEE Control. Syst. Lett., 2024)

The Occupation Kernel Method for Nonlinear System Identification. - Joel A. Rosenfeld; Benjamin P. Russo; Rushikesh Kamalapurkar; Taylor T. Johnson (SIAM J. Control. Optim., 2024)

The Kernel Perspective on Dynamic Mode Decomposition. - Efrain Gonzalez; Moad Abudia; Michael Jury; Rushikesh Kamalapurkar; Joel A. Rosenfeld (Trans. Mach. Learn. Res., 2024)

Pilot Performance Modeling via Observer-Based Inverse Reinforcement Learning. - Jared Town; Zachary Morrison; Rushikesh Kamalapurkar (IEEE Trans. Control. Syst. Technol., 2024)

Dynamic Mode Decomposition With Control Liouville Operators. - Joel A. Rosenfeld; Rushikesh Kamalapurkar (IEEE Trans. Autom. Control., 2024)

On Dynamic Mode Decomposition of Control-Affine Systems. - Moad Abudia; Joel A. Rosenfeld; Rushikesh Kamalapurkar (ACC, 2025)

Monocular inspection of spacecraft under illumination constraints and avoidance regions. - Tochukwu Elijah Ogri; Muzaffar Qureshi; Zachary I. Bell; Matthew Longmire; Rushikesh Kamalapurkar (ACC, 2025)

Nonuniqueness and convergence to equivalent solutions in observer-based inverse reinforcement learning. - Jared Town; Zachary Morrison; Rushikesh Kamalapurkar (Autom., 2025)

Switched Optimal Control with Dwell Time Constraints. - Masoud S. Sakha; Rushikesh Kamalapurkar (CoRR, 2025)

Gaussian Process-Based Scalar Field Estimation in GPS-Denied Environments. - Muzaffar Qureshi; Tochukwu Elijah Ogri; Humberto Ramos; Zachary I. Bell; Rushikesh Kamalapurkar (CoRR, 2025)

Approximate Dynamic Programming for Trajectory Tracking of Switched Systems. - Max L. Greene; Masoud S. Sakha; Rushikesh Kamalapurkar; Warren E. Dixon (IEEE Trans. Autom. Control., 2025)

Improved Dwell-times for Switched Nonlinear Systems using Memory Regression Extension. - Muzaffar Qureshi; Tochukwu Elijah Ogri; Humberto Ramos; Wanjiku A. Makumi; Zachary I. Bell; Rushikesh Kamalapurkar (CoRR, 2025)

A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression. - Muzaffar Qureshi; Tochukwu Elijah Ogri; Zachary I. Bell; Wanjiku A. Makumi; Rushikesh Kamalapurkar (CoRR, 2025)

Saturated RISE Controllers With Exponential Stability Guarantees: A Projected Dynamical Systems Approach. - Omkar Sudhir Patil; Rushikesh Kamalapurkar; Warren E. Dixon (IEEE Trans. Autom. Control., 2025)