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ORCIDMargaret P. Chapman
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2020 – today
- 2025
[j12]Margaret P. Chapman, Dionysis Kalogerias:
Risk-Aware Stability of Linear Systems. IEEE Trans. Autom. Control. 70(2): 861-876 (2025)- 2024
- [j11]Margaret P. Chapman, Emily Jensen, Steven M. Chan, Laurent Lessard:
Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment. Autom. 163: 111546 (2024) - [j10]Dhairya Patel
, Margaret P. Chapman:
Risk-Aware Finite-Horizon Social Optimal Control of Mean-Field Coupled Linear-Quadratic Subsystems. IEEE Control. Syst. Lett. 8: 2265-2270 (2024) - [i14]Prithvi Akella, Anushri Dixit, Mohamadreza Ahmadi, Lars Lindemann, Margaret P. Chapman, George J. Pappas, Aaron D. Ames, Joel W. Burdick:
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification. CoRR abs/2403.18972 (2024) - [i13]Dhairya Patel, Margaret P. Chapman:
Risk-Aware Finite-Horizon Social Optimal Control of Mean-Field Coupled Linear-Quadratic Subsystems. CoRR abs/2406.05239 (2024) - 2023
- [j9]Margaret P. Chapman, Michael Fauß, Kevin M. Smith:
On Optimizing the Conditional Value-at-Risk of a Maximum Cost for Risk-Averse Safety Analysis. IEEE Trans. Autom. Control. 68(6): 3720-3727 (2023) - [j8]Kevin M. Smith, Margaret P. Chapman:
On Exponential Utility and Conditional Value-at-Risk as Risk-Averse Performance Criteria. IEEE Trans. Control. Syst. Technol. 31(6): 2555-2570 (2023) - 2022
- [j7]Yuheng Wang, Margaret P. Chapman:
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control. Artif. Intell. 311: 103743 (2022) - [j6]Margaret P. Chapman, Laurent Lessard:
Toward a Scalable Upper Bound for a CVaR-LQ Problem. IEEE Control. Syst. Lett. 6: 920-925 (2022) - [j5]Margaret P. Chapman, Kevin M. Smith:
Classical Risk-Averse Control for a Finite-Horizon Borel Model. IEEE Control. Syst. Lett. 6: 1525-1530 (2022) - [j4]Evan Arsenault, Yuheng Wang, Margaret P. Chapman:
Toward Scalable Risk Analysis for Stochastic Systems Using Extreme Value Theory. IEEE Control. Syst. Lett. 6: 3391-3396 (2022) - [j3]Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. IEEE Trans. Autom. Control. 67(12): 6521-6536 (2022) - [c7]Chuanning Wei, Michael Fauß, Margaret P. Chapman:
CVaR-based Safety Analysis in the Infinite Time Horizon Setting. ACC 2022: 2863-2870 - [i12]Evan Arsenault, Yuheng Wang, Margaret P. Chapman:
Towards Scalable Risk Analysis for Stochastic Systems Using Extreme Value Theory. CoRR abs/2203.12689 (2022) - [i11]Margaret P. Chapman, Emily Jensen, Steven M. Chan, Laurent Lessard:
Information-theoretic multi-time-scale partially observable systems with relevance to leukemia treatment. CoRR abs/2204.12604 (2022) - [i10]Margaret P. Chapman, Dionysios S. Kalogerias:
Risk-Aware Stability of Discrete-Time Systems. CoRR abs/2211.12416 (2022) - 2021
- [c6]Marius Wiggert, Megan Turnidge, Zoe Cohen, Ellen M. Langer, Rosalie C. Sears, Margaret P. Chapman, Claire J. Tomlin:
Identification of Cancer Cell Population Dynamics Leveraging the Effect of Pre-Treatment for Drug Schedule Design. ACC 2021: 1909-1916 - [i9]Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-sensitive safety analysis using Conditional Value-at-Risk. CoRR abs/2101.12086 (2021) - [i8]Margaret P. Chapman, Laurent Lessard:
Toward a Scalable Upper Bound for a CVaR-LQ Problem. CoRR abs/2103.02136 (2021) - [i7]Margaret P. Chapman, Michael Fauss, H. Vincent Poor, Kevin M. Smith:
Risk-sensitive safety analysis via state-space augmentation. CoRR abs/2106.00776 (2021) - [i6]Margaret P. Chapman, Kevin M. Smith:
Classical Risk-Averse Control for Finite-Horizon Borel Models. CoRR abs/2107.13981 (2021) - [i5]Kevin M. Smith, Margaret P. Chapman:
On Exponential Utility and Conditional Value-at-Risk as Risk-Averse Performance Criteria. CoRR abs/2108.01771 (2021) - [i4]Chuanning Wei, Michael Fauss, Margaret P. Chapman:
CVaR-based Safety Analysis for the Infinite Time Setting. CoRR abs/2108.06776 (2021) - [i3]Yuheng Wang, Margaret P. Chapman:
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control. CoRR abs/2109.08947 (2021) - [i2]Chia-Hui Yeh, Margaret P. Chapman:
A Non-linear Differentiable Model for Stormwater-based Irrigation of a Green Roof in Toronto. CoRR abs/2110.13669 (2021)
2010 – 2019
- 2019
- [j2]Margaret P. Chapman, Tyler T. Risom, Anil Aswani, Ellen M. Langer, Rosalie C. Sears, Claire J. Tomlin:
Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer. PLoS Comput. Biol. 15(3) (2019) - [j1]Margaret P. Chapman, Tyler T. Risom, Anil Aswani, Ellen M. Langer, Rosalie C. Sears, Claire J. Tomlin:
Correction: Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer. PLoS Comput. Biol. 15(10) (2019) - [c5]Margaret P. Chapman, Jonathan Lacotte, Aviv Tamar, Donggun Lee, Kevin M. Smith, Victoria Cheng, Jaime F. Fisac, Susmit Jha, Marco Pavone, Claire J. Tomlin:
A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems. ACC 2019: 2958-2963 - [i1]Margaret P. Chapman, Jonathan Lacotte, Aviv Tamar, Donggun Lee, Kevin M. Smith, Victoria Cheng, Jaime F. Fisac, Susmit Jha, Marco Pavone, Claire J. Tomlin:
A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems. CoRR abs/1902.11277 (2019) - 2018
- [c4]Margaret P. Chapman, Eric V. Mazumdar, Ellen M. Langer, Rosalie C. Sears, Claire J. Tomlin:
On the Analysis of Cyclic Drug Schedules for Cancer Treatment using Switched Dynamical Systems. CDC 2018: 3503-3509 - 2017
- [c3]David Fridovich-Keil, Nathan Hanford, Margaret P. Chapman, Claire J. Tomlin, Matthew K. Farrens, Dipak Ghosal:
A model predictive control approach to flow pacing for TCP. Allerton 2017: 988-994 - 2016
- [c2]Margaret P. Chapman, Tyler T. Risom, Anil Aswani, Roel Dobbe, Rosalie C. Sears, Claire J. Tomlin:
A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations. CDC 2016: 2481-2487 - 2014
- [c1]Margaret P. Chapman, Michele F. Rotella, Allison M. Okamura:
Position and velocity cursor mappings contribute to distinct muscle forces in simulated isometric and movement reaching. BioRob 2014: 597-603
Coauthor Index
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