2026
-
[12]
2026
Hybrid-time PINNs: Discontinuity-Aware Physics-Informed Neural Networks for Learning Hybrid Dynamical Systems Submitted
Submitted to IEEE Control Systems Letters (L-CSS)
-
[11]
2026
Exact Distributed Attitude Alignment on SO(3) for Robot Teams with Conflicting Local Objectives Submitted
Submitted to the American Control Conference (ACC)
-
[10]
2026
Critical Review of Artificial Intelligence and Machine Learning Methods for Data-Center Load Forecasting
Energies, 2026
-
[9]
2026
VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge Accepted
IEEE PES Grid Edge, 2026
-
[8]
2026
Spectrogram-Based Joint Detection, Localization, and Classification of Events in Continuously Recorded IBR Waveforms Submitted
Submitted to IEEE PES Grid Edge, 2026
-
[7]
2026
Data-Efficient Physics-Informed Learning for Synchro-Waveform Analytics of Grid-Integrated Inverter-Based Resources
IEEE International Conference on Harmonics and Quality of Power (ICHQP), 2026
-
[6]
2026
MathAgent: A SciPy-Augmented Benchmark for Agentic Scientific Computation Submitted
Submitted to MLSys, 2026
-
[5]
2026
Test-Driven Agentic Framework for Reliable Robot Controller
International Conference on Control, Automation and Systems (ICCAS), 2026
-
[4]
2026
Online Optimization with Unknown Time-Varying Parameters using Noisy Gradient Measurements
IEEE Control Systems Letters, 2026
2025
-
[3]
2025
Online Optimization with Unknown Time-Varying Parameters
IEEE Control Systems Letters, Vol. 9, pp. 1610–1615, 2025
-
[2]
2025
Fusing Multiple Algorithms for Heterogeneous Online Learning
American Control Conference (ACC), 2025