Clustering is a powerful technique in data-mining, which involves identifing homogeneous
groups of objects based on the values of attributes. Meta-heuristic algorithms such as …

To solve disturbances, nonlinearity, nonholonomic constraints and dynamic coupling
between the platform and its mounted robot manipulator, an adaptive sliding mode controller …

The aim of this paper is to present novel Multi-objective Particle Swarm Optimization
(MOPSO) called Ingenious-MOPSO and compare its capability with three well-known multi …

Robust control of fractional-order Liu system is addressed in this paper. The proposed
approach relies on sliding mode control being established on a novel fractional-order …

The operation of free-floating space robots causes significant challenges to the attitude
control of a spacecraft body, resulting from the strong dynamic coupling existing in the …

This paper focuses on sensor fault detection and compensation for robotic manipulators.
The proposed method features a new adaptive observer and a new terminal sliding mode …

The mechanical characteristic of an arm can be investigated in a two-stage cascade
pendulum, which two jointed pendulums rotate to a jointed point and move forward for …

In the paper, a hybrid method based two-degree of freedom (2-DOF) PID controller is
proposed for tuning the time delay system. The hybrid technique is the combination of fuzzy …

This paper studies the issue of high-precision trajectory tracking control for manipulator
systems with uncertainty disturbances and develops a fast fixed-time control scheme. First, a …

The difficulty of addressing the decentralized control problem for a torque sensorless
constrained reconfigurable manipulator is associated with decentralized control of the …