Modeling and control of robotic manipulators based on artificial neural networks: a review

Z Liu, K Peng, L Han, S Guan - Iranian Journal of Science and Technology …, 2023 - Springer
Recently, robotic manipulators have been playing an increasingly critical part in scientific
research and industrial applications. However, modeling of robotic manipulators is …

A review on fractional-order modelling and control of robotic manipulators

K Bingi, B Rajanarayan Prusty, A Pal Singh - Fractal and Fractional, 2023 - mdpi.com
Robot manipulators are widely used in many fields and play a vital role in the assembly,
maintenance, and servicing of future complex in-orbit infrastructures. They are also helpful in …

Interval-based optimal trajectory tracking control method for manipulators with clearance considering time-dependent reliability constraints

L Wang, Z Zhou, J Liu - Aerospace Science and Technology, 2022 - Elsevier
The soaring operating performance of robotic manipulators renders the significance of
advanced controller design. However, the uncertainty in practice would unavoidably lead to …

Adaptive fractional-order non-singular terminal sliding mode control based on fuzzy wavelet neural networks for omnidirectional mobile robot manipulator

X Wu, Y Huang - ISA transactions, 2022 - Elsevier
This paper studies a novel adaptive fractional-order non-singular terminal sliding mode (FO-
NTSM) control strategy for omnidirectional mobile robot manipulator (OMRM) with unknown …

Impulsive security control for fractional-order delayed multi-agent systems with uncertain parameters and switching topology under DoS attack

G Narayanan, MS Ali, H Alsulami, G Stamov… - Information …, 2022 - Elsevier
This paper studies the problem of fractional-order impulsive security control for uncertain
fractional-order delayed multi-agent systems (FDMASs) under Denial-of-Service (DoS) …

Adaptive memetic differential evolution-back propagation-fuzzy neural network algorithm for robot control

K Zheng, Q Zhang, L Peng, S Zeng - Information Sciences, 2023 - Elsevier
This study established an adaptive memetic differential evolution-back propagation-fuzzy
neural network (AMDE-BP-FNN) control method to achieve high-efficiency and precise …

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 …

[HTML][HTML] Applications of fractional-order calculus in robotics

AP Singh, K Bingi - Fractal and Fractional, 2024 - mdpi.com
Fractional calculus, a branch of mathematical analysis, extends traditional calculus that
encompasses integrals and derivatives of non-integer orders. This concept provides a …

Design of interval type-2 fuzzy precompensated PID controller applied to two-DOF robotic manipulator with variable payload

PJ Gaidhane, MJ Nigam, A Kumar, PM Pradhan - ISA transactions, 2019 - Elsevier
The interval type-2 fuzzy logic controller (IT2-FLC), with footprint of uncertainty (FOU) in
membership functions (MF), has increasingly recognized for controlling uncertainties and …

[HTML][HTML] A switching-based collaborative fractional order fuzzy logic controllers for robotic manipulators

R Sharma, S Bhasin, P Gaur, D Joshi - Applied Mathematical Modelling, 2019 - Elsevier
In the present work, a collaborative implementation of fractional order proportional-integral-
derivative control and fractional order fuzzy logic control method is investigated for the …