Fuzzy logic approach for controlling uncertain and nonlinear systems: a comprehensive review of applications and advances
HH Tang, NS Ahmad - Systems Science & Control Engineering, 2024 - Taylor & Francis
This paper presents a comprehensive review of the latest developments in fuzzy logic (FL)
applications across critical domains which include energy harvesting (EH), ambient …
applications across critical domains which include energy harvesting (EH), ambient …
A systematic review on cooperative dual-arm manipulators: modeling, planning, control, and vision strategies
The framework of this paper is to present a systematic review of the state-of-the-art
development of cooperative dual-arm manipulators in the industrial and household fields. A …
development of cooperative dual-arm manipulators in the industrial and household fields. A …
Finite-time convergence adaptive fuzzy control for dual-arm robot with unknown kinematics and dynamics
Due to strongly coupled nonlinearities of the grasped dual-arm robot and the internal forces
generated by grasped objects, the dual-arm robot control with uncertain kinematics and …
generated by grasped objects, the dual-arm robot control with uncertain kinematics and …
Neural control of bimanual robots with guaranteed global stability and motion precision
Robots with coordinated dual arms are able to perform more complicated tasks that a single
manipulator could hardly achieve. However, more rigorous motion precision is required to …
manipulator could hardly achieve. However, more rigorous motion precision is required to …
On position/force tracking control problem of cooperative robot manipulators using adaptive fuzzy backstep** approach
In this paper, the position and force tracking control problem of cooperative robot
manipulator system handling a common rigid object with unknown dynamical models and …
manipulator system handling a common rigid object with unknown dynamical models and …
A brief review of neural networks based learning and control and their applications for robots
As an imitation of the biological nervous systems, neural networks (NNs), which have been
characterized as powerful learning tools, are employed in a wide range of applications, such …
characterized as powerful learning tools, are employed in a wide range of applications, such …
Actor–critic learning based coordinated control for a dual-arm robot with prescribed performance and unknown backlash-like hysteresis
In this paper, we focus on the tracking problem of a dual-arm robot (DAR) with prescribed
performance and unknown input backlash-like hysteresis. Considering this problem …
performance and unknown input backlash-like hysteresis. Considering this problem …
Adaptive neural network second-order sliding mode control of dual arm robots
An adaptive robust control system is considered for dual-arm manipulators (DAM) using the
combination of second-order sliding mode control (SOSMC) and neural networks. The …
combination of second-order sliding mode control (SOSMC) and neural networks. The …
Robust coordinated control of a dual-arm space robot
Dual-arm space robots are more capable of implementing complex space tasks compared
with single arm space robots. However, the dynamic coupling between the arms and the …
with single arm space robots. However, the dynamic coupling between the arms and the …
Single master bimanual teleoperation system with efficient regulation
This article proposes a new single master bimanual teleoperation system with an efficient
position, orientation, and force regulation strategy. Unlike many existing studies that solely …
position, orientation, and force regulation strategy. Unlike many existing studies that solely …