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General type-2 fuzzy gain scheduling PID controller with application to power-line inspection robots
In this paper, a general type-2 fuzzy gain scheduling PID (GT2FGS-PID) controller is
presented to achieve self-balance adjustment of the power-line inspection (PLI) robot …
presented to achieve self-balance adjustment of the power-line inspection (PLI) robot …
Adaptive neuro fuzzy based hybrid force/position control for an industrial robot manipulator
In this paper an ANFIS-PD+ I (AFSPD+ I) based hybrid force/position controller has been
proposed which works effectively with unspecified robot dynamics in the presence of …
proposed which works effectively with unspecified robot dynamics in the presence of …
[HTML][HTML] Grey-box modelling and fuzzy logic control of a Leader–Follower robot manipulator system: A hybrid Grey Wolf–Whale Optimisation approach
This study presents the development of a grey-box modelling approach and fuzzy logic
control for real time trajectory control of an experimental four degree-of-freedom Leader …
control for real time trajectory control of an experimental four degree-of-freedom Leader …
Adaptive P‐type iterative learning radial basis function control for robot manipulators with unknown varying disturbances and unknown input dead zone
T Bensidhoum, F Bouakrif - International Journal of Robust and …, 2020 - Wiley Online Library
This article proposes an adaptive iterative learning radial basis function (RBF) scheme to
solve the trajectory‐tracking problem for perturbed robot manipulators with unknown …
solve the trajectory‐tracking problem for perturbed robot manipulators with unknown …
[PDF][PDF] Adaptive Neuro-Fuzzy Inference System based control of six DOF robot manipulator.
The dynamics of robot manipulators are highly nonlinear with strong couplings existing
between joints and are frequently subjected to structured and unstructured uncertainties …
between joints and are frequently subjected to structured and unstructured uncertainties …
New hybrid adaptive neuro-fuzzy algorithms for manipulator control with uncertainties–Comparative study
Control of an industrial robot includes nonlinearities, uncertainties and external
perturbations that should be considered in the design of control laws. In this paper, some …
perturbations that should be considered in the design of control laws. In this paper, some …
[HTML][HTML] Direct force control of upper-limb exoskeleton based on fuzzy adaptive algorithm
J Tang, J Zheng, Y Wang - Journal of Vibroengineering, 2018 - extrica.com
In order to synchronize human and machine positions and minimize human-machine
interaction forces in exoskeleton control, we present a two-degree-of-freedom (2-DOF) …
interaction forces in exoskeleton control, we present a two-degree-of-freedom (2-DOF) …
[HTML][HTML] A novel and advanced control method based on Fuzzy-PI for joint wear simulators
KR Iyer, D Keeling, RM Hall - Open …, 2024 - open-research-europe.ec.europa.eu
Background This research presents a novel approach to improve the control performance of
joint wear simulators that are used for testing prostheses. For this application, precise …
joint wear simulators that are used for testing prostheses. For this application, precise …
Tuning of a Robotic Arm using PID Controller for Robotics and Automation Industry
P Kulkarni, O Kulkarni… - 2024 6th International …, 2024 - ieeexplore.ieee.org
This paper discusses integrating robotics and automation systems to improve industrial
automation's efficiency, precision, and reliability, focusing on the versatile robotic arm. The …
automation's efficiency, precision, and reliability, focusing on the versatile robotic arm. The …
Practical realization for the interval type-2 fuzzy PD+ I controller using a low-cost microcontroller
The interval type-2 fuzzy logic systems (IT2-FLSs) have been able to model and minimize
the numerical and linguistic uncertainties associated with the inputs and the outputs of FLSs …
the numerical and linguistic uncertainties associated with the inputs and the outputs of FLSs …