7 citations · 14 across the 4 of their papers we have counts for
4 papers
Machine learning in parameter estimation of nonlinear systems
Kaushal Kumar
Accurately estimating parameters in complex nonlinear systems is crucial across scientific and engineering fields. We present a novel approach for parameter estimation using a neur…
Data-driven modeling and parameter estimation of Nonlinear systems
Kaushal Kumar
Nonlinear systems play a significant role in numerous scientific and engineering disciplines, and comprehending their behavior is crucial for the development of effective control a…
Forecasting Crude Oil Prices Using Reservoir Computing Models
Kaushal Kumar
Accurate crude oil price prediction is crucial for financial decision-making. We propose a novel reservoir computing model for forecasting crude oil prices. It outperforms popular…
Exploring Optimization Techniques for Parameter Estimation in Nonlinear System Modeling
Kaushal Kumar
Optimization techniques play a crucial role in estimating parameters and state information for nonlinear systems. However, some critical aspects of these problems have received lit…