Neural networks for control systems: a survey
Automatica (Journal of IFAC)
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Neural Network Control of Robot Manipulators and Nonlinear Systems
Neural Network Control of Robot Manipulators and Nonlinear Systems
A reinforcement learning adaptive fuzzy controller for robots
Fuzzy Sets and Systems - Theme: Modeling and control
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A new applications of adaptive critic identifier for wheeled mobile robot is presented. In this approach the architecture of adaptive critic identifier contains a neural network (NN) based adaptive critic element (ACE) generating the reinforcement signal to tune the associative search element (ASE), which is applied to approximate nonlinear functions of the mobile robot. The proposed system identification that can guarantee tracking performance and stability is derived from the Lyapunov stability theory. Computer simulation have been conducted to illustrate the performance of the proposed solution by a series of experiments on the emulator of wheeled mobile robot Pioneer-2DX.