A lot of automatic feedback control and learning tasks carried out on many dynamical
systems still fundamentally rely on a form of proportional–integral–derivative (PID) control …

In this work, we are interested to the PID control of nonlinear systems and more specially the
control of a robot manipulator. The idea is to determine the optimal parameters (K_ p, K_ i K …

This paper proposes an improved optimal integral sliding mode control (IOISMC) for a robust
and optimal tracking control of robotic manipulators under the presence of coupling effects …

Proportional-Derivative (PD) control is one of the most widely used controllers, especially for
robot manipulators. When the robot presents gravitational terms, PD control cannot …

The efficiency in the controller performance of a BLDC motor in an uncertain environment
highly depends on the adaptability of the controller gains. In this paper, the chaotic adaptive …

A new intelligent hybrid structure used for online tuning of a PID controller is proposed in this
paper. The structure is based on two adaptive neural networks, both with built-in Chebyshev …

In order to solve the problem of the strict condition of traditional saturation function, a new
generalized saturation function was proposed and applied in nonlinear PID (Proportion …

Saturating‐proportional‐derivative‐type global continuous control for the finite‐time or
(local) exponential stabilisation of mechanical systems with bounded inputs is achieved …

This paper deals with the design of an optimal stochastic controller possessing tracking
capability of any reference output trajectory in the presence of measurement noise. We …

Generally, stiffness and impedance control schemes require knowledge of the location of
any object with which a robot interacts within its workspace; therefore, the integration of a …