Scott A. Nivison

According to our database, Scott A. Nivison authored at least 18 papers between 2015 and 2023.

Collaborative distances:

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

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

Target Tracking Subject to Intermittent Measurements Using Attention Deep Neural Networks.

Zachary I. Bell, Runhan Sun, Kyle Volle, Prashant Ganesh, Scott A. Nivison, Warren E. Dixon

IEEE Control. Syst. Lett., 2023

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

A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games.

Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Zone-Based Guidance Strategy with Integrated Target Selection for Swarm Engagements.

Alexander Benvenuti, Scott Nivison

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Passivity-Based Target Tracking Robust to Intermittent Measurements.

Michael J. McCourt, Zachary I. Bell, Scott A. Nivison

Proceedings of the American Control Conference, 2022

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

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

Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback.

Yi Shen, Yan Zhang, Scott Nivison, Zachary I. Bell, Michael M. Zavlanos

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

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

Proceedings of the 2021 American Control Conference, 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

Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers.

Deepan Muthirayan, Scott A. Nivison, Pramod P. Khargonekar

Proceedings of the 2020 American Control Conference, 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

2018

Development of a Robust, Sparsely-Activated, and Deep Recurrent Neural Network Controller for Flight Applications.

Scott A. Nivison, Pramod P. Khargonekar

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Development of a robust deep recurrent neural network controller for flight applications.

Scott A. Nivison, Pramod P. Khargonekar

Proceedings of the 2017 American Control Conference, 2017

2015

Robust and adaptive control of a rocket boosted missile.

Benjamin T. Dickinson, Scott Nivison, Adam Hart, Chiung Hung, Brendan J. Bialy, Sharon Stockbridge

Proceedings of the American Control Conference, 2015