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VI. CONCLUSION. This paper presented a stabilizing RH controller for the regulation of nonholonomic mobile robots. The stability was guaranteed by forcing.
May 14, 2024 · Advantages of the proposed fault-identification method are that it is based on the nonlinear dynamic model of a robot manipulator (and hence, ...
In this paper, a prediction error based dead-zone residual function and nonlinear observers are used to detect and identify a class of actuator faults.
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This paper presents an experimental investigation on a robot manipulator, using neural network for analyzing the vibration condition on joints.
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Jan 1, 2022 · In this paper, a fault identification scheme to deal with actuator faults in robot manipulators described by nonstationary nonlinear dynamic ...
Abstract—In this paper, we introduce a new approach to fault detection for robot manipulators. The technique, which is based on the isolation of fault ...
Several factors must be considered for robotic task execution in the presence of a fault, including: detection, identification, and accommodation for the ...
This paper investigates an algorithm to the robust fault detection and isolation(FDI) in robot manipulators using Neural Networks(NNs).
A new approach to fault detection for robot manipulators based on the isolation of fault signatures via filtered torque prediction error estimates, ...
Proposed method for fault detection and identification of the robot manipulator. Advanced Fuzzy Observer-Based Fault Identification for Robot Manipulators.