R. Kamalapurkar

IEEE Control. Syst. Lett., 2024

An adaptive optimal control approach to monocular depth observability maximization.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Singular Dynamic Mode Decomposition.

[BibT_eX]

[DOI]

SIAM J. Appl. Dyn. Syst., September, 2023

Fault Detection via Occupation Kernel Principal Component Analysis.

[BibT_eX]

[DOI]

Benjamin P. Russo

Ying Zhao Lian

IEEE Control. Syst. Lett., 2023

Pilot Performance modeling via observer-based inverse reinforcement learning.

[BibT_eX]

[DOI]

Jared Town

CoRR, 2023

Convergent Dynamic Mode Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

State and Parameter Estimation for Affine Nonlinear Systems.

[BibT_eX]

[DOI]

Tochukwu Elijah Ogri

Zachary I. Bell

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.

[BibT_eX]

[DOI]

Tochukwu Elijah Ogri

Zachary I. Bell

Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Nonuniqueness and Convergence to Equivalent Solutions in Observer-based Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Jared Town

Proceedings of the American Control Conference, 2023

Modeling Partially Unknown Dynamics with Continuous Time DMD<sup>*</sup>.

[BibT_eX]

[DOI]

Efrain Gonzalez

Ladan Avazpour

Proceedings of the American Control Conference, 2023

Carleman Lifting for Nonlinear System Identification with Guaranteed Error Bounds.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

Dynamic Mode Decomposition for Continuous Time Systems with the Liouville Operator.

[BibT_eX]

[DOI]

L. Forest Gruss

Taylor T. Johnson

J. Nonlinear Sci., 2022

Editorial: Safety in Collaborative Robotics and Autonomous Systems.

[BibT_eX]

[DOI]

Ashwin Dani

Zhen Kan

Nicholas R. Gans

Frontiers Robotics AI, 2022

Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Model-based inverse reinforcement learning for deterministic systems.

[BibT_eX]

[DOI]

Autom., 2022

2021

Full- and Reduced-Order Observers for Image-Based Depth Estimation Using Concurrent Learning.

[BibT_eX]

[DOI]

Daniel Trombetta

Ashwin P. Dani

IEEE Trans. Control. Syst. Technol., 2021

Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties.

[BibT_eX]

[DOI]

Scott A. Nivison

Zachary I. Bell

Frontiers Robotics AI, 2021

Online Observer-Based Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Kevin Coleman

He Bai

IEEE Control. Syst. Lett., 2021

Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems.

[BibT_eX]

[DOI]

CoRR, 2021

Singular Dynamic Mode Decompositions.

[BibT_eX]

[DOI]

CoRR, 2021

An occupation kernel approach to optimal control.

[BibT_eX]

[DOI]

CoRR, 2021

Anti-Koopmanism.

[BibT_eX]

[DOI]

Efrain Gonzalez

Michael Jury

CoRR, 2021

Control Occupation Kernel Regression for Nonlinear Control-Affine Systems.

[BibT_eX]

[DOI]

Tejasvi Channagiri

CoRR, 2021

On Occupation Kernels, Liouville Operators, and Dynamic Mode Decomposition.

[BibT_eX]

[DOI]

L. Forest Gruss

Taylor T. Johnson

Proceedings of the 2021 American Control Conference, 2021

A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

2020

Extension of Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning.

[BibT_eX]

[DOI]

Daniel Trombetta

Ashwin Dani

CoRR, 2020

A safety aware model based reinforcement learning framework for systems with uncertainties.

[BibT_eX]

[DOI]

Katrine Hareland

CoRR, 2020

Online inverse reinforcement learning with unknown disturbances.

[BibT_eX]

[DOI]

CoRR, 2020

Online inverse reinforcement learning with limited data.

[BibT_eX]

[DOI]

Katrine Hareland

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Model-Based Reinforcement Learning for Optimal Feedback Control of Switched Systems.

[BibT_eX]

[DOI]

Max L. Greene

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Switched Optimal Control and Dwell Time Constraints: A Preliminary Study.

[BibT_eX]

[DOI]

Michael Harlan

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Online inverse reinforcement learning for systems with disturbances.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

2019

The State Following Approximation Method.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Invariance-Like Results for Nonautonomous Switched Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Cooperative Manipulation of an Unknown Payload With Concurrent Mass and Drag Force Estimation.

[BibT_eX]

[DOI]

Sandesh Thapa

Ryan V. Self

He Bai

IEEE Control. Syst. Lett., 2019

Output-feedback online optimal control for a class of nonlinear systems.

[BibT_eX]

[DOI]

CoRR, 2019

Reduced Order Observer for Structure from Motion using Concurrent Learning.

[BibT_eX]

[DOI]

Daniel Trombetta

Ashwin P. Dani

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Occupation Kernels and Densely Defined Liouville Operators for System Identification.

[BibT_eX]

[DOI]

Benjamin Russo

Taylor T. Johnson

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Online inverse reinforcement learning for nonlinear systems.

[BibT_eX]

[DOI]

Michael Harlan

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.

[BibT_eX]

[DOI]

Michael Harlan

Proceedings of the 2019 American Control Conference, 2019

Observer Design for Structure from Motion using Concurrent Learning.

[BibT_eX]

[DOI]

Ryan Saltus

Ashwin Dani

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.

[BibT_eX]

[DOI]

Forrest Voight

Eric M. Schwartz

IEEE Trans. Robotics, 2018

Target Tracking in the Presence of Intermittent Measurements via Motion Model Learning.

[BibT_eX]

[DOI]

Anup Parikh

IEEE Trans. Robotics, 2018

Approximate Dynamic Programming: Combining Regional and Local State Following Approximations.

[BibT_eX]

[DOI]

Patryk Deptula

IEEE Trans. Neural Networks Learn. Syst., 2018

Model-Based Reinforcement Learning in Differential Graphical Games.

[BibT_eX]

[DOI]

Justin R. Klotz

IEEE Trans. Control. Netw. Syst., 2018

Inverse reinforcement learning in continuous time and space.

[BibT_eX]

[DOI]

CoRR, 2018

Linear inverse reinforcement learning in continuous time and space.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Model-Based Reinforcement Learning for Infinite-Horizon Approximate Optimal Tracking.

[BibT_eX]

[DOI]

Lindsey Andrews

IEEE Trans. Neural Networks Learn. Syst., 2017

Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators.

[BibT_eX]

[DOI]

Benjamin Reish

Girish Chowdhary

IEEE Trans. Autom. Control., 2017

Online Approximate Optimal Station Keeping of a Marine Craft in the Presence of a Current.

[BibT_eX]

[DOI]

Forrest Voight

Eric M. Schwartz

CoRR, 2017

Unknown time-varying input delay compensation for uncertain nonlinear systems.

[BibT_eX]

[DOI]

Serhat Obuz

Justin R. Klotz

Autom., 2017

On reduction of differential inclusions and Lyapunov stability.

[BibT_eX]

[DOI]

Andrew R. Teel

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Simultaneous state and parameter estimation for second-order nonlinear systems.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Online output-feedback parameter and state estimation for second order linear systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

2016

Identification-Based Closed-Loop NMES Limb Tracking With Amplitude-Modulated Control Input.

[BibT_eX]

[DOI]

Teng-Hu Cheng

Qiang Wang

Matthew J. Bellman

IEEE Trans. Cybern., 2016

Time-Varying Input and State Delay Compensation for Uncertain Nonlinear Systems.

[BibT_eX]

[DOI]

Nicholas R. Fischer

Serhat Obuz

IEEE Trans. Autom. Control., 2016

A Corollary for Switched Nonsmooth Systems with Applications to Switching in Adaptive Control.

[BibT_eX]

[DOI]

CoRR, 2016

Model-based reinforcement learning for approximate optimal regulation.

[BibT_eX]

[DOI]

Autom., 2016

Efficient model-based reinforcement learning for approximate online optimal control.

[BibT_eX]

[DOI]

Autom., 2016

2015

Approximate N -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System.

[BibT_eX]

[DOI]

Marcus Johnson

IEEE Trans. Neural Networks Learn. Syst., 2015

Integral Concurrent Learning: Adaptive Control with Parameter Convergence without PE or State Derivatives.

[BibT_eX]

[DOI]

Anup Parikh

CoRR, 2015

Efficient model-based reinforcement learning for approximate online optimal.

[BibT_eX]

[DOI]

CoRR, 2015

Approximate optimal trajectory tracking for continuous-time nonlinear systems.

[BibT_eX]

[DOI]

Autom., 2015

Approximate optimal online continuous-time path-planner with static obstacle avoidance.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Homography based visual servo control with scene reconstruction.

[BibT_eX]

[DOI]

Anup Parikh

Hsi-Yuan Chen

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

State following (StaF) kernel functions for function approximation Part I: Theory and motivation.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

Decentralized monitoring of leader-follower networks of uncertain nonlinear systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

State following (StaF) kernel functions for function approximation part II: Adaptive dynamic programming.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

Saturated RISE Feedback Control for a Class of Second-Order Nonlinear Systems.

[BibT_eX]

[DOI]

Nicholas R. Fischer

Zhen Kan

IEEE Trans. Autom. Control., 2014

Dynamic neural network-based robust observers for uncertain nonlinear systems.

[BibT_eX]

[DOI]

Neural Networks, 2014

Online approximate optimal path-following for a mobile robot.

[BibT_eX]

[DOI]

Lindsey Andrews

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Adaptive dynamic programming for terminally constrained finite-horizon optimal control problems.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Concurrent learning-based network synchronization.

[BibT_eX]

[DOI]

R. Kamalapurkar

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.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2014

2013

LaSalle-Yoshizawa Corollaries for Nonsmooth Systems.

[BibT_eX]

[DOI]

Nicholas R. Fischer

IEEE Trans. Autom. Control., 2013

Robust Identification-Based State Derivative Estimation for Nonlinear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2013

Approximately Optimal Trajectory Tracking for Continuous Time Nonlinear Systems

[BibT_eX]

[DOI]

CoRR, 2013

Online Approximate Optimal Station Keeping of an Autonomous Underwater Vehicle.

[BibT_eX]

[DOI]

CoRR, 2013

Online Approximate Optimal Path-Following for a Kinematic Unicycle.

[BibT_eX]

[DOI]

Lindsey Andrews

CoRR, 2013

Supporting Lemmas for RISE-based Control Methods.

[BibT_eX]

[DOI]

Ryan Downey

CoRR, 2013

Concurrent learning-based online approximate feedback-Nash equilibrium solution of N-player nonzero-sum differential games.

[BibT_eX]

[DOI]

CoRR, 2013

A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems.

[BibT_eX]

[DOI]

R. Kamalapurkar

Marcus Johnson

Kyriakos G. Vamvoudakis

Frank L. Lewis

Autom., 2013

Concurrent learning-based approximate optimal regulation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]