Applications of fractional operators in robotics: a review
S Chávez-Vázquez, JF Gómez-Aguilar… - Journal of Intelligent & …, 2022 - Springer
This manuscript presents a bibliographic review on fractional-order control laws applied to
robotics manipulators, robot vehicles, man-robot systems, as well as biologically inspired …
robotics manipulators, robot vehicles, man-robot systems, as well as biologically inspired …
An improved neural network algorithm to efficiently track various trajectories of robot manipulator arms
The tuning of the robot actuator represents many challenges to follow a predefined trajectory
on account of the uncertainties of parameters and the model nonlinearity. Furthermore, the …
on account of the uncertainties of parameters and the model nonlinearity. Furthermore, the …
Multi-objective meta-heuristic optimization in intelligent control: A survey on the controller tuning problem
A Rodríguez-Molina, E Mezura-Montes… - Applied Soft …, 2020 - Elsevier
Multi-objective optimization has been adopted in many engineering problems where a set of
requirements must be met to generate successful applications. Among them, there are the …
requirements must be met to generate successful applications. Among them, there are the …
Optimal design of nonlinear model predictive controller based on new modified multitracker optimization algorithm
M Elsisi - International Journal of Intelligent Systems, 2020 - Wiley Online Library
The controller design for the robotic manipulator faces different challenges such as the
system's nonlinearities and the uncertainties of the parameters. Furthermore, the tracking of …
system's nonlinearities and the uncertainties of the parameters. Furthermore, the tracking of …
Effective nonlinear model predictive control scheme tuned by improved NN for robotic manipulators
The nonlinearities of the robotic manipulators and the uncertainties of their parameters
represent big challenges against the controller design. Moreover, the tracking of regular and …
represent big challenges against the controller design. Moreover, the tracking of regular and …
Improvement of trajectory tracking by robot manipulator based on a new co-operative optimization algorithm
The tracking of a predefined trajectory with less error, system-settling time, system, and
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …
Chaos inspired invasive weed optimization algorithm for parameter estimation of solar PV models
High performance solar photovoltaic models require precise knowledge of solar PV cell
parameters. Numerous methods based on both deterministic and meta-heuristics have been …
parameters. Numerous methods based on both deterministic and meta-heuristics have been …
Multi-objective tuning for torque PD controllers of cobots
Collaborative robotics is a new and challenging field in the realm of motion control and
human-robot interaction. The safety measures needed for a reliable interaction between the …
human-robot interaction. The safety measures needed for a reliable interaction between the …
Planning of Load Frequency Control in Two Degrees of Freedom PID Controller Using MFO Technique in 2 Area Power System
In this paper, the load frequency regulation of a two-area system is investigated in detail. In
this research, two regions have been explored in which non-reheated types of turbines are …
this research, two regions have been explored in which non-reheated types of turbines are …
[PDF][PDF] Improvement of Trajectory Tracking by Robot Manipulator Based on a New Co-Operative Optimization Algorithm. Mathematics 2021, 9, 3231
The tracking of a predefined trajectory with less error, system-settling time, system, and
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …
overshoot is the main challenge with the robot-manipulator controller. In this regard, this …