–Estimated end date
NSF DMS: Division of Mathematical Sciences
Control Properties of Partial Differential Equations: Data-Driven and Operator Theoretic Approach
August 15, 2026–July 31, 2029 (estimated).
DyCoAI Laboratory
Funding & Collaborations
Our research has been supported by the National Science Foundation (NSF), including a 2012 NSF CAREER Award, the Department of Defense (DoD), the Department of Energy (DoE), the Power Systems Engineering Research Center (PSERC), and the Iowa Energy Center.
Foundations, control, and autonomy
Recent Awards
–
NSF CMMI
Overcoming the Curse of Dimensionality in Optimal Control using Spectral Operator Methods
–
–
Data-driven Deep Koopman Control-Oriented Learning Framework for Improved Autonomous Offroad Mobility
Research funding history
Earlier Awards
–
Army Research ARC/GVSC
Reinforcement Learning Approach to CPS Vehicle Reenvisioning
–
NSF ECCS / Collaborative Research
Dynamic data analytics for the Power Grid via Koopman and Perron-Frobenius Operator
–
NSF CPS / Medium
Data-driven Causality Mapping, System Identification and Dynamics Characterization for Future Power Grid
–
Department of Energy (DoE)
Sensor enabled data driven predictive analytics for modeling and control with high penetration of DERs in distribution system
–
PSERC
Real Time Synchrophasor Measurement Based Voltage Stability Monitoring and Control
–
NSF CPS / Synergy / Collaborative Research
A Unified System Theoretic Framework for Cyber Attack-Resilient Power Grid
–
Smart sensory membrane for wind turbine blades
–
NSF CAREER Award
Stability analysis and control of uncertain network system in nonequilibrium
–
PSERC
PMU-based real time stability monitoring of power systems
–
NSF ECCS
Fundamental limitation and complex dynamics in nonlinear network system with uncertainty
–
NSF CMMI
Analysis and control of complex behavior, linear transfer operator approach
Additional Support
Dates not listed
DoD STTR / Phase I and II
Tools for dynamic analysis, simulation, and design of control surface with free play
Collaborating Company: VSI Aerospace, Ames, IA.
Support and collaboration
Funding & Research Partners
We gratefully acknowledge the agencies and partners supporting our research across current and past projects.
