Position and velocity cursor mappings contribute to distinct muscle forces in simulated isometric and movement reaching. - Margaret P. Chapman; Michele F. Rotella; Allison M. Okamura (BioRob, 2014)

A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations. - Margaret P. Chapman; Tyler T. Risom; Anil Aswani; Roel Dobbe; Rosalie C. Sears; Claire J. Tomlin (CDC, 2016)

A model predictive control approach to flow pacing for TCP. - David Fridovich-Keil; Nathan Hanford; Margaret P. Chapman; Claire J. Tomlin; Matthew K. Farrens; Dipak Ghosal (Allerton, 2017)

On the Analysis of Cyclic Drug Schedules for Cancer Treatment using Switched Dynamical Systems. - Margaret P. Chapman; Eric V. Mazumdar; Ellen M. Langer; Rosalie C. Sears; Claire J. Tomlin (CDC, 2018)

A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems. - Margaret P. Chapman; Jonathan Lacotte; Aviv Tamar; Donggun Lee; Kevin M. Smith; Victoria Cheng; Jaime F. Fisac; Susmit Jha; Marco Pavone 001; Claire J. Tomlin (ACC, 2019)

Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer. - Margaret P. Chapman; Tyler T. Risom; Anil Aswani; Ellen M. Langer; Rosalie C. Sears; Claire J. Tomlin (PLoS Comput. Biol., 2019)

Correction: Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer. - Margaret P. Chapman; Tyler T. Risom; Anil Aswani; Ellen M. Langer; Rosalie C. Sears; Claire J. Tomlin (PLoS Comput. Biol., 2019)

Identification of Cancer Cell Population Dynamics Leveraging the Effect of Pre-Treatment for Drug Schedule Design. - Marius Wiggert; Megan Turnidge; Zoe Cohen; Ellen M. Langer; Rosalie C. Sears; Margaret P. Chapman; Claire J. Tomlin (ACC, 2021)

Risk-sensitive safety analysis via state-space augmentation. - Margaret P. Chapman; Michael Fauss; H. Vincent Poor; Kevin M. Smith (CoRR, 2021)

Classical Risk-Averse Control for Finite-Horizon Borel Models. - Margaret P. Chapman; Kevin M. Smith (CoRR, 2021)

CVaR-based Safety Analysis for the Infinite Time Setting. - Chuanning Wei; Michael Fauss; Margaret P. Chapman (CoRR, 2021)

A Non-linear Differentiable Model for Stormwater-based Irrigation of a Green Roof in Toronto. - Chia-Hui Yeh; Margaret P. Chapman (CoRR, 2021)

CVaR-based Safety Analysis in the Infinite Time Horizon Setting. - Chuanning Wei; Michael Fauß; Margaret P. Chapman (ACC, 2022)

Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control. - Yuheng Wang; Margaret P. Chapman (Artif. Intell., 2022)

Towards Scalable Risk Analysis for Stochastic Systems Using Extreme Value Theory. - Evan Arsenault; Yuheng Wang; Margaret P. Chapman (CoRR, 2022)

Information-theoretic multi-time-scale partially observable systems with relevance to leukemia treatment. - Margaret P. Chapman; Emily Jensen; Steven M. Chan; Laurent Lessard (CoRR, 2022)

Risk-Aware Stability of Discrete-Time Systems. - Margaret P. Chapman; Dionysios S. Kalogerias (CoRR, 2022)

Toward Scalable Risk Analysis for Stochastic Systems Using Extreme Value Theory. - Evan Arsenault; Yuheng Wang; Margaret P. Chapman (IEEE Control. Syst. Lett., 2022)

Toward a Scalable Upper Bound for a CVaR-LQ Problem. - Margaret P. Chapman; Laurent Lessard (IEEE Control. Syst. Lett., 2022)

Classical Risk-Averse Control for a Finite-Horizon Borel Model. - Margaret P. Chapman; Kevin M. Smith (IEEE Control. Syst. Lett., 2022)

Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. - Margaret P. Chapman; Riccardo Bonalli; Kevin M. Smith; Insoon Yang; Marco Pavone 001; Claire J. Tomlin (IEEE Trans. Autom. Control., 2022)

On Optimizing the Conditional Value-at-Risk of a Maximum Cost for Risk-Averse Safety Analysis. - Margaret P. Chapman; Michael Fauß; Kevin M. Smith (IEEE Trans. Autom. Control., 2023)

On Exponential Utility and Conditional Value-at-Risk as Risk-Averse Performance Criteria. - Kevin M. Smith; Margaret P. Chapman (IEEE Trans. Control. Syst. Technol., 2023)

Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment. - Margaret P. Chapman; Emily Jensen; Steven M. Chan; Laurent Lessard (Autom., 2024)

Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification. - Prithvi Akella; Anushri Dixit; Mohamadreza Ahmadi; Lars Lindemann; Margaret P. Chapman; George J. Pappas; Aaron D. Ames; Joel W. Burdick (CoRR, 2024)

Risk-Aware Finite-Horizon Social Optimal Control of Mean-Field Coupled Linear-Quadratic Subsystems. - Dhairya Patel; Margaret P. Chapman (IEEE Control. Syst. Lett., 2024)

Error analysis for approximate CVaR-optimal control with a maximum cost. - Evan Arsenault; Margaret P. Chapman (IMA J. Math. Control. Inf., 2025)

Risk-Aware Stability of Linear Systems. - Margaret P. Chapman; Dionysis Kalogerias (IEEE Trans. Autom. Control., 2025)