1 citations · 1 across the 4 of their papers we have counts for
4 papers
Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning
Zhang Minghao, Yang Xiaojun, Wang Zhihe +1
This paper introduces the CRL2RT algorithm, an advanced reinforcement learning method aimed at improving the real-time control performance of the Direct-Drive Tandem-Wing Experimen…
Development of Minimal Biorobotic Stealth Distance and Its Application in the Design of Direct-Drive Dragonfly-Inspired Aircraft
Zhang Minghao, Song Bifeng, Yang Xiaojun +2
This paper introduces the Minimal Biorobotic Stealth Distance (MBSD), a novel quantitative metric to evaluate the bionic resemblance of biorobotic aircraft. Current technological l…
A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under Multiple Random Operating Conditions
Zhang Minghao, Song Bifeng, Yang Xiaojun +1
The nonlinear and unstable aerodynamic interference generated by the tandem wings of such biomimetic systems poses substantial challenges for motion control, especially under multi…
ConcertoRL: An Innovative Time-Interleaved Reinforcement Learning Approach for Enhanced Control in Direct-Drive Tandem-Wing Vehicles
Minghao Zhang, Bifeng Song, Changhao Chen +1
In control problems for insect-scale direct-drive experimental platforms under tandem wing influence, the primary challenge facing existing reinforcement learning models is their l…