Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based
on Charles Darwin's proposed principles of natural genetics and natural selection theories …

In this paper, an analysis of control structures for the electrical drive system with elastic joint
is carried out. The synthesis of the control structure with proportional-integral controller …

Non-linear hysteresis is a complicated phenomenon associated with magnetorheological
(MR) fluid dampers. A new model for MR dampers is proposed in this paper. For this …

Parameter identification is essential for the model-based high-accuracy control of robot
manipulators. The objective of this work is to develop a swarm intelligence-based technique …

This study presents the application of a fractional-order PI λ D μ and an active disturbance
rejection (ADR) controller to a nonlinear two-mass system. A complete state-space …

This paper deals with the application of the adaptive control structure for torsional vibration
suppression in the drive system with an elastic coupling. The proportional-integral speed …

This paper deals with the application of neural networks (NNs) to the mechanical state
estimation of the drive system with elastic joint. The torsional vibrations of the two-mass …

The identification of uncertain and nonlinear systems is an important and challenging
problem. Fuzzy models, particularly Takagi–Sugeno (TS), have received particular attention …

In this paper, new Takagi–Sugeno proportional–integral-fuzzy controllers (PI-FCs) to control
a class of servosystems are proposed. The controlled plants in these control systems (CSs) …

This paper deals with the dynamic modeling and identification of Staubli RX-60 robot. In the
robot identification, a least squares (LS) method and particle swarm optimization (PSO) …