Max L. Greene

According to our database, Max L. Greene authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Approximate Optimal Trajectory Tracking With Sparse Bellman Error Extrapolation.

Max L. Greene, Patryk Deptula, Scott Nivison, Warren E. Dixon

IEEE Trans. Autom. Control., June, 2023

Deep Neural Network-Based Approximate Optimal Tracking for Unknown Nonlinear Systems.

Max L. Greene, Zachary I. Bell, Scott Nivison, Warren E. Dixon

IEEE Trans. Autom. Control., May, 2023

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances.

Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How

CoRR, 2023

2022

Lyapunov-Based Real-Time and Iterative Adjustment of Deep Neural Networks.

Runhan Sun, Max L. Greene, Duc M. Le, Zachary I. Bell, Girish Chowdhary, Warren E. Dixon

IEEE Control. Syst. Lett., 2022

Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network.

Omkar Sudhir Patil, Duc M. Le, Max L. Greene, Warren E. Dixon

IEEE Control. Syst. Lett., 2022

Real-Time Modular Deep Neural Network-Based Adaptive Control of Nonlinear Systems.

Duc M. Le, Max L. Greene, Wanjiku A. Makumi, Warren E. Dixon

IEEE Control. Syst. Lett., 2022

Model-Based Switched Approximate Dynamic Programming for Functional Electrical Stimulation Cycling.

Wanjiku A. Makumi, Max L. Greene, Kimberly J. Stubbs, Warren E. Dixon

Proceedings of the American Control Conference, 2022

2021

Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking.

Max L. Greene, Zachary I. Bell, Scott A. Nivison, Jonathan P. How, Warren E. Dixon

Proceedings of the 2021 American Control Conference, 2021

2020

Sparse Learning-Based Approximate Dynamic Programming With Barrier Constraints.

Max L. Greene, Patryk Deptula, Scott Nivison, Warren E. Dixon

IEEE Control. Syst. Lett., 2020

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

Max L. Greene, Moad Abudia, Rushikesh Kamalapurkar, Warren E. Dixon

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

2019

Reinforcement Learning with Sparse Bellman Error Extrapolation for Infinite-Horizon Approximate Optimal Regulation.

Max L. Greene, Patryk Deptula, Scott Nivison, Warren E. Dixon

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