Eric Forgoston

发表

Evolving towards the optimal path to extinction in stochastic processes

Eric Forgoston, Simone Bianco, Leah B. Shaw, 2010 .

A Primer on Noise-Induced Transitions in Applied Dynamical Systems

Eric Forgoston, Richard O. Moore, E. Forgoston, 2017, SIAM Rev..

Seasonal forcing in stochastic epidemiology models

Eric Forgoston, Lora Billings, L. Billings, 2018 .

Escape Rates in a Stochastic Environment with Multiple Scales

Eric Forgoston, Ira B. Schwartz, I. Schwartz, 2008, SIAM J. Appl. Dyn. Syst..

Experimental validation of robotic manifold tracking in gyre-like flows

M. Ani Hsieh, Eric Forgoston, Ira B. Schwartz, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Exploiting Stochasticity for the Control of Transitions in Gyre Flows

M. Ani Hsieh, Eric Forgoston, Dhanushka Kularatne, 2018, Robotics: Science and Systems.

Coherent Pattern Prediction in Swarms of Delay-Coupled Agents

Eric Forgoston, Ira B. Schwartz, Luis Mier-y-Teran-Romero, 2012, IEEE Transactions on Robotics.

Distributed allocation of mobile sensing swarms in gyre flows

M. Ani Hsieh, Eric Forgoston, Ira B. Schwartz, 2013, 1303.0704.

Machine Learning for Trajectory Prediction in Geophysical Flows

Eric Forgoston, Kevin Yao, Philip Yecko, 2019 .

Collaborative tracking and control in time-dependent stochastic dynamical systems

Eric Forgoston, Ira B. Schwartz, Philip Yecko, 2013 .

Robotic Tracking of Coherent Structures in Flows

M. Ani Hsieh, Eric Forgoston, Ira B. Schwartz, 2014, IEEE Transactions on Robotics.

Learning Nonlinear Dynamics and Chaos: A Universal Framework for Knowledge-Based System Identification and Prediction pdf

M. Ani Hsieh, Eric Forgoston, Tom Z. Jiahao, 2020, ArXiv.

Distributed allocation of mobile sensing agents in geophysical flows

M. Ani Hsieh, Eric Forgoston, Ira B. Schwartz, 2014, 2014 American Control Conference.

Bridging the Gap: Machine Learning to Resolve Improperly Modeled Dynamics pdf

M. Ani Hsieh, Eric Forgoston, Dhanushka Kularatne, 2020, ArXiv.

Noise, bifurcations, and modeling of interacting particle systems

Eric Forgoston, Ira B. Schwartz, Luis Mier-y-Teran-Romero, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Small and Adrift with Self-Control: Using the Environment to Improve Autonomy

M. Ani Hsieh, Eric Forgoston, Ira B. Schwartz, 2015, ISRR.

Using control to shape stochastic escape and switching dynamics.

Eric Forgoston, Dhanushka Kularatne, M Ani Hsieh, 2019, Chaos.

Robotic manifold tracking of coherent structures in flows

M. Ani Hsieh, Eric Forgoston, Ira B. Schwartz, 2012, 2012 IEEE International Conference on Robotics and Automation.

Knowledge-based learning of nonlinear dynamics and chaos.

Eric Forgoston, Tom Z. Jiahao, M. Ani Hsieh, 2020, Chaos.

Matrix Scaling and Tipping Points

Eric Forgoston, Lora Billings, Michael A. S. Thorne, 2021, SIAM J. Appl. Dyn. Syst..

Noise, bifurcations, and modeling of interacting particle systems

Eric Forgoston, Ira B. Schwartz, Luis Mier-y-Teran-Romero, 2011, IROS 2011.

An Experimental Testbed for Multi-Robot Tracking of Manifolds and Coherent Structures in Flows

M. Ani Hsieh, Eric Forgoston, Kenneth Mallory, 2013 .

Delay-induced instabilities in self-propelling swarms.

Eric Forgoston, Ira B Schwartz, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Accurate noise projection for reduced stochastic epidemic models

Eric Forgoston, Ira B Schwartz, Lora Billings, 2009, Chaos.

A Framework for Inferring Unobserved Multistrain Epidemic Subpopulations Using Synchronization Dynamics

Eric Forgoston, Ira B Schwartz, Leah B Shaw, 2015, Bulletin of mathematical biology.

Converging towards the optimal path to extinction

Eric Forgoston, Ira B Schwartz, Leah B Shaw, 2011, Journal of The Royal Society Interface.

Predicting Unobserved Exposures from Seasonal Epidemic Data

Eric Forgoston, Ira B. Schwartz, I. Schwartz, 2013, Bulletin of mathematical biology.

Extinction pathways and outbreak vulnerability in a stochastic Ebola model

Eric Forgoston, Lora Billings, Simone Bianco, 2017, Journal of The Royal Society Interface.

Set-based corral control in stochastic dynamical systems: making almost invariant sets more invariant.

Eric Forgoston, Ira B Schwartz, Lora Billings, 2011, Chaos.