In this treatment of random dynamical systems, we consider the existence—and
identification—of conditional independencies at nonequilibrium steady-state. These …

This paper investigates fractional-and distributed-order proportional-integral-derivative
(FOPID and DOPID) controllers for permanent magnet synchronous motors (PMSM). The …

A generalization of the particle swarm optimization (PSO) algorithm is presented in this
paper. The novel optimizer, the Generalized PSO (GPSO), is inspired by linear control …

Recent studies have shown that complex-order fractional operators allow for compact
modeling with simpler structures and less parameters than models based on integer-order …

This paper addresses the Optimal Sensor Deployment Problem (OSDP). The goal is to
maximize the probability of target detection, with simultaneous cost minimization. The …

Prior work has explored utilizing machine learning for the Lorenz system in the time domain.
In this work, we have focused on applications of machine learning for predicting the onset of …

In this paper, a generalized particle swarm optimization (GPSO) algorithm was applied to the
problems of optimal control of high speed low cost interior permanent magnet motor …

This paper is a preliminary report on work done to explore the use of unsupervised machine
learning methods to predict the onset of turbulent transitions in natural convection systems …

Fractional-order PID controllers are suitably designed for cascade control of permanent
magnet synchronous motor drives. The stator current and the speed are controlled in two …

Original scientific paper Special kind of basic involute profile of non-standard gearing is
called high contact ratio (HCR) gearing, when the contact ratio is higher and there are …