Adaptive PID Controller Using a Multilayer Perceptron
Adaptive PID Controller Using a Multilayer Perceptron Trained With the Extended Kalman Filter for an Unmanned Aerial Vehicle
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Artificial Neural Networks for Engineering Applications
Artificial Neural Networks for Engineering Applications present current trends for the solution of complex engineering
Ground Vehicle Tracking with a Quadrotor using Image Based Visual Servoing
In this paper, the authors present an approach to track a ground vehicle with a quadrotor equipped with a monocular vision system
Visual Servoing for an Autonomous Hexarotor Using a Neural Network Based PID Controller
Visual Servoing for an Autonomous Hexarotor Using a Neural Network-Based PID Controller.
