Margaret P. Chapman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Safety Analysis

Dynamical Systems

Optimal Control

Top Venues

IEEE Control. Syst. Lett.

Publications

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 (2024)
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 (2024)
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) (2023)
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) (2023)
Evan Arsenault, Yuheng Wang, Margaret P. Chapman
Toward Scalable Risk Analysis for Stochastic Systems Using Extreme Value Theory. IEEE Control. Syst. Lett. 6 (2022)
Chuanning Wei, Michael Fauß, Margaret P. Chapman
CVaR-based Safety Analysis in the Infinite Time Horizon Setting. ACC (2022)
Yuheng Wang, Margaret P. Chapman
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control. Artif. Intell. 311 (2022)
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) (2022)
Margaret P. Chapman, Kevin M. Smith
Classical Risk-Averse Control for a Finite-Horizon Borel Model. IEEE Control. Syst. Lett. 6 (2022)
Margaret P. Chapman, Laurent Lessard
Toward a Scalable Upper Bound for a CVaR-LQ Problem. IEEE Control. Syst. Lett. 6 (2022)
Evan Arsenault, Yuheng Wang, Margaret P. Chapman
Towards Scalable Risk Analysis for Stochastic Systems Using Extreme Value Theory. CoRR (2022)
Margaret P. Chapman, Emily Jensen, Steven M. Chan, Laurent Lessard
Information-theoretic multi-time-scale partially observable systems with relevance to leukemia treatment. CoRR (2022)
Margaret P. Chapman, Dionysios S. Kalogerias
Risk-Aware Stability of Discrete-Time Systems. CoRR (2022)
Kevin M. Smith, Margaret P. Chapman
On Exponential Utility and Conditional Value-at-Risk as Risk-Averse Performance Criteria. CoRR (2021)
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 (2021)
Chia-Hui Yeh, Margaret P. Chapman
A Non-linear Differentiable Model for Stormwater-based Irrigation of a Green Roof in Toronto. CoRR (2021)
Yuheng Wang, Margaret P. Chapman
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control. CoRR (2021)
Margaret P. Chapman, Laurent Lessard
Toward a Scalable Upper Bound for a CVaR-LQ Problem. CoRR (2021)
Margaret P. Chapman, Michael Fauss, H. Vincent Poor, Kevin M. Smith
Risk-sensitive safety analysis via state-space augmentation. CoRR (2021)
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)
Chuanning Wei, Michael Fauss, Margaret P. Chapman
CVaR-based Safety Analysis for the Infinite Time Setting. CoRR (2021)
Margaret P. Chapman, Kevin M. Smith
Classical Risk-Averse Control for Finite-Horizon Borel Models. CoRR (2021)
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)
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 (2019)
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)
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)
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)
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)
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)
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)