Abstract - This paper presents an effective neural network based adaptive controller for a newly designed manipulator that has a deployable link as well as ...
tive controller is applied to control the steady-state model. Fig. 4 Neural-network adaptive control of deployable manipulator. Hence, τα,slow = ˆM(qr )( ...
This paper presents an effective neural network based adaptive controller for a newly designed manipulator that has a deployable link as well as a revolute ...
This paper presents a neural network based adaptive controller for an innovative space platform-based manipulator, which has a deployable link as well as a ...
Dynamic Modeling and Neural-Network Adaptive Control of a Deployable Manipulator System ; Nonlinear Adaptive Output Feedback Control of Flexible-Joint Space ...
A neural-network-based adaptive controller is proposed for the tracking problem of manipulators with uncertain kinematics, dynamics and actuator model.
Missing: deployable | Show results with:deployable
This article presents an adaptive neural network (ANN) control scheme based on a disturbance observer that can achieve trajectory tracking control of robotic ...
Missing: deployable | Show results with:deployable
Neural network adaptive control of a space platform-based deployable manipulator · Y. CaoC. D. de Silva. Engineering, Computer Science. 2003 IEEE Pacific Rim ...
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An adaptive neural network controller is proposed to deal with the end-effector tracking problem of manipulators with uncertainties.
Missing: deployable | Show results with:deployable
Thus, a robust adaptive control strategy does not rely on the exact dynamic model and can completely compensate for or reject the effect of model uncertainties.