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 …

An improved neural network algorithm to efficiently track various trajectories of robot manipulator arms

M Elsisi, K Mahmoud, M Lehtonen, MMF Darwish - Ieee Access, 2021 - ieeexplore.ieee.org
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 …

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 …

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 …

Effective nonlinear model predictive control scheme tuned by improved NN for robotic manipulators

M Elsisi, K Mahmoud, M Lehtonen… - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

Improvement of trajectory tracking by robot manipulator based on a new co-operative optimization algorithm

M Elsisi, HG Zaini, K Mahmoud, S Bergies… - Mathematics, 2021 - mdpi.com
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 …

Chaos inspired invasive weed optimization algorithm for parameter estimation of solar PV models

U Chauhan, H Chhabra, P Jain, A Dev… - IFAC Journal of Systems …, 2024 - Elsevier
High performance solar photovoltaic models require precise knowledge of solar PV cell
parameters. Numerous methods based on both deterministic and meta-heuristics have been …

Multi-objective tuning for torque PD controllers of cobots

D Navarro-Cabrera, NR Luque, E Ros - arXiv preprint arXiv:2309.08988, 2023 - arxiv.org
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 …

Planning of Load Frequency Control in Two Degrees of Freedom PID Controller Using MFO Technique in 2 Area Power System

M Pushkarna, H Ashfaq, R Singh - International Conference on Signals …, 2022 - Springer
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 …

[PDF][PDF] Improvement of Trajectory Tracking by Robot Manipulator Based on a New Co-Operative Optimization Algorithm. Mathematics 2021, 9, 3231

M Elsisi, HG Zaini, K Mahmoud, S Bergies… - 2021 - academia.edu
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 …