Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Fundamentals of Robotics: Analysis and Control
Fundamentals of Robotics: Analysis and Control
Fundamentals for Control of Robotic Manipulators
Fundamentals for Control of Robotic Manipulators
Adaptive Control
Control of Robot Manipulators
Optimal design of CMAC neural-network controller for robotmanipulators
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Adaptive control of robot manipulator using fuzzy compensator
IEEE Transactions on Fuzzy Systems
Neural-network-based robust fault diagnosis in robotic systems
IEEE Transactions on Neural Networks
| Hi-index | 0.01 |
Presented in this paper are a method, named the Dynamic Rule Prediction (DRP), which predicts the behavior of a system and its application in designing a controller. The aim of the study is to overcome some of the limitations and shortcoming of the other controllers. The effectiveness of this method is verified. The controller based on DRP possesses two main features. It can control the system without any prior knowledge of the controlled plant. It is, also, superior as its high-speed prediction. This paper focuses on the robot manipulator controllers and applications of this approach in it.