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The inverted pendulum benchmark in nonlinear control theory: a survey
For at least fifty years, the inverted pendulum has been the most popular benchmark, among
others, in nonlinear control theory. The fundamental focus of this work is to enhance the …
others, in nonlinear control theory. The fundamental focus of this work is to enhance the …
The fusion of computationally intelligent methodologies and sliding-mode control-a survey
This paper surveys how some" intelligence" can be incorporated in sliding-mode controllers
(SMCs) by the use of computational intelligence methodologies in order to alleviate the well …
(SMCs) by the use of computational intelligence methodologies in order to alleviate the well …
Adaptive-constrained impedance control for human–robot co-transportation
Human–robot co-transportation allows for a human and a robot to perform an object
transportation task cooperatively on a shared environment. This range of applications raises …
transportation task cooperatively on a shared environment. This range of applications raises …
Adaptive neural network control of AUVs with control input nonlinearities using reinforcement learning
In this paper, we investigate the trajectory tracking problem for a fully actuated autonomous
underwater vehicle (AUV) that moves in the horizontal plane. External disturbances, control …
underwater vehicle (AUV) that moves in the horizontal plane. External disturbances, control …
Adaptive neural network control of an uncertain robot with full-state constraints
This paper studies the tracking control problem for an uncertain-link robot with full-state
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …
Adaptive fuzzy full-state and output-feedback control for uncertain robots with output constraint
This article focuses on the tracking control issue of robotic systems with dynamic
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …
Adaptive neural impedance control of a robotic manipulator with input saturation
In this paper, adaptive impedance control is developed for an-link robotic manipulator with
input saturation by employing neural networks. Both uncertainties and input saturation are …
input saturation by employing neural networks. Both uncertainties and input saturation are …
Adaptive neural control for robotic manipulators with output constraints and uncertainties
This paper investigates adaptive neural control methods for robotic manipulators, subject to
uncertain plant dynamics and constraints on the joint position. The barrier Lyapunov function …
uncertain plant dynamics and constraints on the joint position. The barrier Lyapunov function …
Reinforcement learning-based fixed-time trajectory tracking control for uncertain robotic manipulators with input saturation
A fixed-time trajectory tracking control method for uncertain robotic manipulators with input
saturation based on reinforcement learning (RL) is studied. The designed RL control …
saturation based on reinforcement learning (RL) is studied. The designed RL control …
Adaptive neural network control of a robotic manipulator with time-varying output constraints
The control problem of an uncertain n-degrees of freedom robotic manipulator subjected to
time-varying output constraints is investigated in this paper. We describe the rigid robotic …
time-varying output constraints is investigated in this paper. We describe the rigid robotic …