Margaret P. Chapman
Orcid: 0000-0002-2483-6545
According to our database1,
Margaret P. Chapman
authored at least 26 papers
between 2014 and 2024.
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Bibliography
2024
Risk-Aware Finite-Horizon Social Optimal Control of Mean-Field Coupled Linear-Quadratic Subsystems.
IEEE Control. Syst. Lett., 2024
CoRR, 2024
Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment.
Autom., 2024
2023
On Exponential Utility and Conditional Value-at-Risk as Risk-Averse Performance Criteria.
IEEE Trans. Control. Syst. Technol., November, 2023
On Optimizing the Conditional Value-at-Risk of a Maximum Cost for Risk-Averse Safety Analysis.
IEEE Trans. Autom. Control., June, 2023
2022
IEEE Trans. Autom. Control., 2022
IEEE Control. Syst. Lett., 2022
IEEE Control. Syst. Lett., 2022
Information-theoretic multi-time-scale partially observable systems with relevance to leukemia treatment.
CoRR, 2022
CoRR, 2022
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control.
Artif. Intell., 2022
Proceedings of the American Control Conference, 2022
2021
A Non-linear Differentiable Model for Stormwater-based Irrigation of a Green Roof in Toronto.
CoRR, 2021
Identification of Cancer Cell Population Dynamics Leveraging the Effect of Pre-Treatment for Drug Schedule Design.
Proceedings of the 2021 American Control Conference, 2021
2019
Correction: Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer.
PLoS Comput. Biol., 2019
Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer.
PLoS Comput. Biol., 2019
A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems.
Proceedings of the 2019 American Control Conference, 2019
2018
On the Analysis of Cyclic Drug Schedules for Cancer Treatment using Switched Dynamical Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2014
Position and velocity cursor mappings contribute to distinct muscle forces in simulated isometric and movement reaching.
Proceedings of the 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014