IEEE

An Analytic Policy Gradient-Based Deep Reinforcement Learning Motion Cueing Algorithm for Driving Simulators

Abstract: The proposed motion cueing algorithm (MCA), based on a reinforcement learning algorithm using gradient information to directly update the control policy, introduces three significant ...
IEEE

Deep Q-Network-Based Optimization of Model Predictive Control Motion Cueing Algorithm for Specific Scenario

Abstract: Motion cueing algorithms (MCAs) enable realistic motion cues on limited-workspace platforms for flight training. In upset prevention and recovery training, conventional MCAs often fail to ...
Scientific Research Publishing

The Role of a Novel Discrete-Time MRAC Based Motion Cueing on Loss of Control at a Hexapod Driving Simulator ()

The objective of this paper is to present the advantages of Model reference adaptive control (MRAC) motion cueing algorithm against the classical motion cueing algorithm in terms of biomechanical ...
Scientific Research Publishing

Asadi, H., Mohammadi, A., Mohamed, S. and Nahavandi, S. (2014) Adaptive Translational Cueing Motion Algorithm Using Fuzzy Based Tilt Coordination. Neural Information Processing ...

ABSTRACT: The objective of this paper is to present the advantages of Model reference adaptive control (MRAC) motion cueing algorithm against the classical motion cueing algorithm in terms of ...