Self-tuning fuzzy PID-nonsingular fast terminal sliding mode control for robust fault tolerant control of robot manipulators
In this work, a new robust controller is developed for robot manipulator based on an
integrating between a novel self-tuning fuzzy proportional–integral–derivative (PID) …
integrating between a novel self-tuning fuzzy proportional–integral–derivative (PID) …
Neural network-based information transfer for dynamic optimization
In dynamic optimization problems (DOPs), as the environment changes through time, the
optima also dynamically change. How to adapt to the dynamic environment and quickly find …
optima also dynamically change. How to adapt to the dynamic environment and quickly find …
A finite-time fault-tolerant control using non-singular fast terminal sliding mode control and third-order sliding mode observer for robotic manipulators
In this paper, a fault-tolerant control (FTC) method for robotic manipulators is proposed to
deal with the lumped uncertainties and faults in case of lacking tachometer sensors in the …
deal with the lumped uncertainties and faults in case of lacking tachometer sensors in the …
Picking robot visual servo control based on modified fuzzy neural network sliding mode algorithms
W Chen, T Xu, J Liu, M Wang, D Zhao - Electronics, 2019 - mdpi.com
Through an analysis of the kinematics and dynamics relations between the target
positioning of manipulator joint angles of an apple-picking robot, the sliding-mode control …
positioning of manipulator joint angles of an apple-picking robot, the sliding-mode control …
Dynamic neural network-based adaptive tracking control for an autonomous underwater vehicle subject to modeling and parametric uncertainties
F Muñoz, JS Cervantes-Rojas, JM Valdovinos… - Applied Sciences, 2021 - mdpi.com
This research presents a way to improve the autonomous maneuvering capability of a four-
degrees-of-freedom (4DOF) autonomous underwater vehicle (AUV) to perform trajectory …
degrees-of-freedom (4DOF) autonomous underwater vehicle (AUV) to perform trajectory …
Event driven sliding mode control of a lower limb exoskeleton based on a continuous neural network electromyographic signal classifier
This study presents an event driven automatic controller to regulate the movement of a
mobile lower limb active orthosis (LLAO) triggered with the information obtained from …
mobile lower limb active orthosis (LLAO) triggered with the information obtained from …
Broad learning control of a two-link flexible manipulator with prescribed performance and actuator faults
In this paper, we present a broad learning control method for a two-link flexible manipulator
with prescribed performance (PP) and actuator faults. The trajectory tracking errors are …
with prescribed performance (PP) and actuator faults. The trajectory tracking errors are …
Robust Kalman filtering with long short-term memory for image-based visual servo control
Z Zhou, R Zhang, Z Zhu - Multimedia Tools and Applications, 2019 - Springer
Visual servo control systems based on Kalman filter (KF) is susceptible to noise interference,
the initialization of the Jacobi matrix is difficult, and the observation value of the Jacobian …
the initialization of the Jacobi matrix is difficult, and the observation value of the Jacobian …
Transfer case clutch torque estimation using an extended Kalman filter with unknown input
Vehicle wheel traction forces play an important role in vehicle performance, especially for
four-wheel-drive vehicles, where a transfer case clutch is used to distribute torque between …
four-wheel-drive vehicles, where a transfer case clutch is used to distribute torque between …
An active fault-tolerant control for robotic manipulators using adaptive non-singular fast terminal sliding mode control and disturbance observer
In this study, a fault-tolerant control (FTC) tactic using a sliding mode controller–observer
method for uncertain and faulty robotic manipulators is proposed. First, a finite-time …
method for uncertain and faulty robotic manipulators is proposed. First, a finite-time …