2026· Materials Research Proceedings· Vol 69, pp. 15-20· 0 citations
TL;DR
This approach presents an adaptable alternative to conventional control design, offering resilience to configuration changes, and providing reduced dependency on the model, and is compared with a conventional method to see if the generalized controller maintains high control performance at the level of an aircraft-specific design.
Abstract
Abstract. This study introduces a DRL-based controller for multiple fixed-wing aircraft without model-specific tuning. The proposed system is trained using Proximal Policy Optimization (PPO) and is enhanced by algorithmic strategies such as multi-model training and kinematics-based reward shaping to ensure generalization across diverse platforms. It is compared with a conventional method to see if the generalized controller maintains high control performance at the level of an aircraft-specific design. This approach presents an adaptable alternative to conventional control design, offering resilience to configuration changes, and providing reduced dependency on the model.
This paper presents a learning-enhanced nonlinear model predictive control approach for 3-D path-following guidance of a fixed-wing small uncrewed aircraft system along with flight test evaluation. A generic framework is introduced that leverages learned meta-level policies for dynamically adjusting inputs to an underl...
C. A. Hirst, Chris Reale, E. Frew· Journal of Guidance Control...· 1 citation
A novel framework for model-based reinforcement learning which introduces approximate inverse process models within the training of reinforcement policies, and proposes a lightweight feedforward architecture for approximate inverse models and integrate them within the policy network of standard RL algorithms.
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. Soft robots, relying on compliant materials, exhibit inherent safety and environmental adaptability in complex environments, but their strong nonlinear characteristics make modeling and control particularly challenging. This paper employs a literature review and comparative analysis approach to summarize research on...
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A comprehensive review of published RL-based control studies using the Quanser Aero, Aero 2, 3-DOF Helicopter, and Autonomous Vehicles Research Studio (AVRS) platforms identifies standardised evaluation procedures, reproducible reporting, safety-aware RL, interoperable software interfaces, and higher-fidelity digital t...
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