This paper presents a stochastic multi-parameters divergence method for online parameter
optimization of fractional-order proportional–integral–derivative (PID) controllers. The …

In this study, the stochastic inertia weight particle swarm optimization (SIWPSO) algorithm
and radial basis function neural network (RBFNN) methods were used to identify the optimal …

This paper presents a robust adaptation mechanism for the orders of a fractional-order
proportional-integral-derivative (PID) controller in order to optimally regulate the speed of a …

The paper investigates nonlinear system identification using system output data at various
linearized operating points. A feed-forward multi-layer Artificial Neural Network (ANN) based …

Since the seventies, the application of non-integer, so-called fractional-order derivative
operators has gained attention in various fields of research like materials science …

In many real world scenarios, the model of the controlled process changes over time. Clearly
in such situations the parameters of the controller need to be adjusted to give an acceptable …