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ORCIDScott A. Nivison
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2020 – today
- 2023
[j5]Zachary I. Bell
, Runhan Sun, Kyle Volle, Prashant Ganesh, Scott A. Nivison, Warren E. Dixon:
Target Tracking Subject to Intermittent Measurements Using Attention Deep Neural Networks. IEEE Control. Syst. Lett. 7: 379-384 (2023)- [j4]Max L. Greene, Zachary I. Bell, Scott Nivison, Warren E. Dixon:
Deep Neural Network-Based Approximate Optimal Tracking for Unknown Nonlinear Systems. IEEE Trans. Autom. Control. 68(5): 3171-3177 (2023) - [j3]Max L. Greene, Patryk Deptula, Scott Nivison, Warren E. Dixon:
Approximate Optimal Trajectory Tracking With Sparse Bellman Error Extrapolation. IEEE Trans. Autom. Control. 68(6): 3618-3624 (2023) - 2022
- [c11]Michael J. McCourt, Zachary I. Bell, Scott A. Nivison:
Passivity-Based Target Tracking Robust to Intermittent Measurements. ACC 2022: 1626-1631 - [c10]Alexander Benvenuti, Scott Nivison:
Zone-Based Guidance Strategy with Integrated Target Selection for Swarm Engagements. CCTA 2022: 179-184 - [c9]Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson:
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. CDC 2022: 5179-5184 - [i4]S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning. CoRR abs/2204.01409 (2022) - [i3]Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson:
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. CoRR abs/2209.02838 (2022) - 2021
- [j2]S. M. Nahid Mahmud, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties. Frontiers Robotics AI 8: 733104 (2021) - [c8]Max L. Greene, Zachary I. Bell, Scott A. Nivison, Jonathan P. How, Warren E. Dixon:
Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking. ACC 2021: 1973-1978 - [c7]S. M. Nahid Mahmud, Katrine Hareland, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties. ACC 2021: 1979-1984 - [c6]Yi Shen, Yan Zhang, Scott Nivison, Zachary I. Bell, Michael M. Zavlanos:
Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback. CDC 2021: 3349-3354 - [i2]S. M. Nahid Mahmud, Moad Abudia, Scott A. Nivison, Zachary I. Bell, Rushikesh Kamalapurkar:
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems. CoRR abs/2110.00271 (2021) - 2020
- [j1]Max L. Greene, Patryk Deptula, Scott Nivison, Warren E. Dixon:
Sparse Learning-Based Approximate Dynamic Programming With Barrier Constraints. IEEE Control. Syst. Lett. 4(3): 743-748 (2020) - [c5]Deepan Muthirayan, Scott A. Nivison, Pramod P. Khargonekar:
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers. ACC 2020: 639-646
2010 – 2019
- 2019
- [c4]Max L. Greene, Patryk Deptula, Scott Nivison, Warren E. Dixon:
Reinforcement Learning with Sparse Bellman Error Extrapolation for Infinite-Horizon Approximate Optimal Regulation. CDC 2019: 1959-1964 - [i1]Deepan Muthirayan, Scott A. Nivison, Pramod P. Khargonekar:
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers. CoRR abs/1910.01189 (2019) - 2018
- [c3]Scott A. Nivison, Pramod P. Khargonekar:
Development of a Robust, Sparsely-Activated, and Deep Recurrent Neural Network Controller for Flight Applications. CDC 2018: 384-390 - 2017
- [c2]Scott A. Nivison, Pramod P. Khargonekar:
Development of a robust deep recurrent neural network controller for flight applications. ACC 2017: 5336-5342 - 2015
- [c1]Benjamin T. Dickinson, Scott Nivison, Adam Hart, Chiung Hung, Brendan J. Bialy, Sharon Stockbridge:
Robust and adaptive control of a rocket boosted missile. ACC 2015: 2520-2532
Coauthor Index
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