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2020 – today
- 2024
[j23]Talha Ahmed
, Dan Wilson:
Phase-Amplitude Coordinate-Based Neural Networks for Inferring Oscillatory Dynamics. J. Nonlinear Sci. 34(1): 15 (2024)- [j22]Dan Wilson, Kai Sun:
Reduced Order Characterization of Nonlinear Oscillations Using an Adaptive Phase-Amplitude Coordinate Framework. SIAM J. Appl. Dyn. Syst. 23(1): 470-504 (2024) - [c7]Tumin Wu, Dan Wilson, Seddik M. Djouadi:
Adaptive Cluster-Dynamic Mode Decomposition with Application to the Burgers' Equation. ACC 2024: 4566-4571 - 2023
- [j21]Dan Wilson:
A Reduced Order Modeling Framework for Strongly Perturbed Nonlinear Dynamical Systems Near Arbitrary Trajectory Sets. SIAM J. Appl. Dyn. Syst. 22(2): 603-634 (2023) - [j20]Dan Wilson:
Koopman Operator Inspired Nonlinear System Identification. SIAM J. Appl. Dyn. Syst. 22(2): 1445-1471 (2023) - 2022
- [j19]Dan Wilson, Jeff Moehlis:
Recent advances in the analysis and control of large populations of neural oscillators. Annu. Rev. Control. 54: 327-351 (2022) - [j18]Dan Wilson:
An Adaptive Phase-Amplitude Reduction Framework without $\mathcal{O}(\epsilon)$ Constraints on Inputs. SIAM J. Appl. Dyn. Syst. 21(1): 204-230 (2022) - 2021
- [j17]Dan Wilson, Seddik M. Djouadi:
Adaptive Isostable Reduction of Nonlinear PDEs With Time Varying Parameters. IEEE Control. Syst. Lett. 5(1): 187-192 (2021) - [j16]Youngmin Park, Dan Wilson:
High-Order Accuracy Computation of Coupling Functions for Strongly Coupled Oscillators. SIAM J. Appl. Dyn. Syst. 20(3): 1464-1484 (2021) - [j15]Dan Wilson:
Optimal Control of Oscillation Timing and Entrainment Using Large Magnitude Inputs: An Adaptive Phase-Amplitude-Coordinate-Based Approach. SIAM J. Appl. Dyn. Syst. 20(4): 1814-1843 (2021) - [c6]Samir Sahyoun, Dan Wilson, Seddik M. Djouadi, Steven M. Wise, Hamid Ait Abderrahmane:
Proper Orthogonal Decomposition Reduced Order Model for Tear Film Flows. ACC 2021: 2763-2768 - 2020
- [j14]Franklin Kenter, Daphne E. Skipper, Dan Wilson:
Computing bounds on product graph pebbling numbers. Theor. Comput. Sci. 803: 160-177 (2020) - [c5]James K. Senter, Dan Wilson, Amir Sadovnik:
Reinforcement Learning for Elimination of Reentrant Spiral Waves in Excitable Media. ACC 2020: 4034-4039 - [c4]Dan Wilson, Samir Sahyoun, Phil Kreth, Seddik M. Djouadi:
Investigating the Underlying Dynamical Structure of Supersonic Flows Using Effective Model Reduction. ACC 2020: 4527-4532
2010 – 2019
- 2019
- [j13]Bharat Monga, Dan Wilson, Timothy Matchen, Jeff Moehlis:
Phase reduction and phase-based optimal control for biological systems: a tutorial. Biol. Cybern. 113(1-2): 11-46 (2019) - [j12]Dan Wilson:
An Optimal Framework for Nonfeedback Stability Control of Chaos. SIAM J. Appl. Dyn. Syst. 18(4): 1982-1999 (2019) - [j11]Dan Wilson, Bard Ermentrout:
Augmented Phase Reduction of (Not So) Weakly Perturbed Coupled Oscillators. SIAM Rev. 61(2): 277-315 (2019) - [c3]Dan Wilson, Seddik M. Djouadi:
Isostable Reduction and Boundary Feedback Control for Nonlinear Convective Flows. CDC 2019: 2138-2143 - 2018
- [j10]Dan Wilson, Bard Ermentrout:
An Operational Definition of Phase Characterizes the Transient Response of Perturbed Limit Cycle Oscillators. SIAM J. Appl. Dyn. Syst. 17(4): 2516-2543 (2018) - 2017
- [c2]Thomas S. Pagano, Carlo Abesamis, Andres Andrade, Hartmut Aumann, Sarath Gunapala, Cate Heneghan, Robert Jarnot, Dean Johnson, Andy Lamborn, Yuki Maruyama, Sir Rafol, Nasrat Raouf, David Rider, Dave Ting, Dan Wilson, Karl Yee, Jerold Cole, Bill Good, Tom Kampe, Juancarlos Soto, Arn Adams, Matt Buckley, Richard Graham, Fred Nicol, Tony Vengel:
Design and development of the CubeSat Infrared Atmospheric Sounder (CIRAS). Earth Observing Systems 2017: 1040209 - 2016
- [j9]Rebecca Grochow Mishuris, Jordan Yoder, Dan Wilson, Devin M. Mann:
Integrating data from an online diabetes prevention program into an electronic health record and clinical workflow, a design phase usability study. BMC Medical Informatics Decis. Mak. 16: 88 (2016) - [j8]Abbey B. Holt, Dan Wilson, Max Shinn, Jeff Moehlis, Theoden I. Netoff:
Phasic Burst Stimulation: A Closed-Loop Approach to Tuning Deep Brain Stimulation Parameters for Parkinson's Disease. PLoS Comput. Biol. 12(7) (2016) - [c1]Dan Wilson, Jeff Moehlis:
Analytical bounds on the critical coupling strength in a population of heterogeneous biological oscillators. ACC 2016: 5772-5778 - 2015
- [j7]Dan Wilson, Jeff Moehlis:
Clustered Desynchronization from High-Frequency Deep Brain Stimulation. PLoS Comput. Biol. 11(12) (2015) - [j6]Dan Wilson, Jeff Moehlis:
Extending Phase Reduction to Excitable Media: Theory and Applications. SIAM Rev. 57(2): 201-222 (2015) - 2014
- [j5]Dan Wilson, Jeff Moehlis:
Locally optimal extracellular stimulation for chaotic desynchronization of neural populations. J. Comput. Neurosci. 37(2): 243-257 (2014) - [j4]Dan Wilson, Jeff Moehlis:
A Hamilton-Jacobi-Bellman approach for termination of seizure-like bursting. J. Comput. Neurosci. 37(2): 345-355 (2014) - [j3]Dan Wilson, Jeff Moehlis:
Optimal Chaotic Desynchronization for Neural Populations. SIAM J. Appl. Dyn. Syst. 13(1): 276-305 (2014) - [j2]Dan Wilson, Jeff Moehlis:
An Energy-Optimal Methodology for Synchronization of Excitable Media. SIAM J. Appl. Dyn. Syst. 13(2): 944-957 (2014)
2000 – 2009
- 2001
- [j1]Jon Lee, Dan Wilson:
Polyhedral methods for piecewise-linear functions I: the lambda method. Discret. Appl. Math. 108(3): 269-285 (2001)
Coauthor Index
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