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Implementation and intelligent gain tuning feedback–based optimal torque control of a rotary parallel robot
Aiming at operating optimally minimizing error of tracking and designing control effort, this
study presents a novel generalizable methodology of an optimal torque control for a 6 …
study presents a novel generalizable methodology of an optimal torque control for a 6 …
Hybrid position/force control of stewart manipulator using extended adaptive fuzzy sliding mode controller (E-AFSMC)
A new and effective control method is proposed for the hybrid position/force control of a
Stewart Manipulator (SM). The control approach can be divided into the two parts, the first is …
Stewart Manipulator (SM). The control approach can be divided into the two parts, the first is …
Discrete time delay feedback control of stewart platform with intelligent optimizer weight tuner
In the presence of complicated kinematic and dynamic, we present a generalizable robust
control technique for the 6-Degree of Freedom (6DoF) Stewart integrated platform with …
control technique for the 6-Degree of Freedom (6DoF) Stewart integrated platform with …
Adaptive time-delay estimation and control of optimized Stewart robot
F Tajdari - Journal of Vibration and Control, 2023 - journals.sagepub.com
Aiming at a more efficient and accurate performance of parallel manipulators in the
existence of complex kinematics and dynamics, a robust generalizable methodology is …
existence of complex kinematics and dynamics, a robust generalizable methodology is …
Feasibility, planning and control of ground-wall transition for a suctorial hexapod robot
Y Gao, W Wei, X Wang, Y Li, D Wang, Q Yu - Applied Intelligence, 2021 - Springer
One of the key factors that affect the efficiency and scope of work of wall-climbing robots is
how the climbing robot can achieve autonomous transition between adjacent vertical …
how the climbing robot can achieve autonomous transition between adjacent vertical …
Intelligent optimal feed-back torque control of a 6dof surgical rotary robot
Sophisticated surgeons are widely indicating the use of surgical robots in order to reject
human error, increase precision, and speed. Among well-known robotic mechanisms …
human error, increase precision, and speed. Among well-known robotic mechanisms …
Nonlinear energy sinks with nonlinear control strategies in fluid-structure simulations framework for passive and active FIV control of sprung cylinders
This article investigates the vortex-induced vibration reduction of a circular cylinder as well
as the flow-induced vibration suppression of an elastically-mounted square cylinder freely …
as the flow-induced vibration suppression of an elastically-mounted square cylinder freely …
Semi-real evaluation, and adaptive control of a 6dof surgical robot
Sophisticated surgeons are widely indicating the use of surgical robots in order to reject
human error, increase precision, and speed. Among well-known robotic mechanisms …
human error, increase precision, and speed. Among well-known robotic mechanisms …
Adaptive fuzzy sliding-mode consensus control of nonlinear under-actuated agents in a near-optimal reinforcement learning framework
This study presents a new framework for merging the Adaptive Fuzzy Sliding-Mode Control
(AFSMC) with an off-policy Reinforcement Learning (RL) algorithm to control nonlinear …
(AFSMC) with an off-policy Reinforcement Learning (RL) algorithm to control nonlinear …
Learning-supported approximated optimal control for autonomous vehicles in the presence of state dependent uncertainties
The control and operation of autonomous systems often involve different decision layers.
The higher control levels are responsible for the planning and perception and operate on a …
The higher control levels are responsible for the planning and perception and operate on a …