Snigdha Chaturvedi

Design and Performance Analysis of a PSO-Tuned Neural Network-Based FOPID Controller for Nonlinear 2-DOF Robotic Manipulators

A Novel Weighted Composite-Objective-Based Evolutionary Framework for PID-Based Temperature Control of Nonlinear CSTR Systems

Error minimization alone is insufficient for industrial process control. This article develops a weighted composite-objective evolutionary optimization scheme for regulating the temperature of a nonlinear, jacket-equipped continuous stirred-tank reactor (CSTR) using a PID controller. Such reactors exhibit strong nonlin...

Short-term load forecasting using artificial neural network and linear regression across multi-city smart grid dataset

The experimental findings indicate that Linear Regression (LR) model is better than the Artificial Neural Network (ANN) model because it has a small Root Mean Square Error (RMSE), which means that the underlying data set is more linear in nature and in this case, simpler models can be more effective than the more compl...