11 citations · 26 across the 6 of their papers we have counts for
6 papers
Dynamic Calibration of Nonlinear Sensors with Time-Drifts and Delays by Bayesian Inference
Soumyabrata Talukder, Souvik Kundu, Ratnesh Kumar
Most sensor calibrations rely on the linearity and steadiness of their response characteristics, but practical sensors are nonlinear, and their response drifts with time, restricti…
Data-Driven Linear Koopman Embedding for Networked Systems: Model-Predictive Grid Control
Ramij R. Hossain, Rahmat Adesunkanmi, Ratnesh Kumar
This paper presents a data-learned linear Koopman embedding of nonlinear networked dynamics and uses it to enable real-time model predictive emergency voltage control in a power ne…
Distributed-MPC with Data-Driven Estimation of Bus Admittance Matrix in Voltage Control
Ramij R. Hossain, Ratnesh Kumar
This article presents a distributed model-predictive control (MPC) design for real-time voltage control in power systems, including an online method to estimate the bus admittance…
Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability
Soumyabrata Talukder, Ratnesh Kumar
Stability certification and identifying a safe and stabilizing initial set are two important concerns in ensuring operational safety, stability, and robustness of dynamical systems…
MPC-based Realtime Power System Control with DNN-based Prediction/Sensitivity-Estimation
Ramij Raja Hossain, Ratnesh Kumar
This paper presents a model predictive control (MPC)-based online real-time adaptive control scheme for emergency voltage control in power systems. Despite tremendous success in va…
"ReLIC: Reduced Logic Inference for Composition" for Quantifier Elimination based Compositional Reasoning and Verification
Hao Ren, Ratnesh Kumar, Matthew Clark
The paper presents our research on quantifier elimination (QE) for compositional reasoning and verification. For compositional reasoning, QE provides the foundation of our approach…