The visual simulation environment of CRA is constructed in ROS and Gazebo environment. The visual aircraft model in the simulation environment is established as controlled objects according to the kinematic characteristics of the CRA.

DOI Link: 
10.21227/cdjy-f137
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[1] Yiran Wei, "Adaptive Formation Tracking Control of Multi-CRA via Back-Stepping and RBFNN Approach", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/cdjy-f137. Accessed: Mar. 16, 2025.
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doi = {10.21227/cdjy-f137},
url = {http://dx.doi.org/10.21227/cdjy-f137},
author = {Yiran Wei },
publisher = {IEEE Dataport},
title = {Adaptive Formation Tracking Control of Multi-CRA via Back-Stepping and RBFNN Approach},
year = {2024} }
TY - DATA
T1 - Adaptive Formation Tracking Control of Multi-CRA via Back-Stepping and RBFNN Approach
AU - Yiran Wei
PY - 2024
PB - IEEE Dataport
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Yiran Wei. (2024). Adaptive Formation Tracking Control of Multi-CRA via Back-Stepping and RBFNN Approach. IEEE Dataport. http://dx.doi.org/10.21227/cdjy-f137
Yiran Wei, 2024. Adaptive Formation Tracking Control of Multi-CRA via Back-Stepping and RBFNN Approach. Available at: http://dx.doi.org/10.21227/cdjy-f137.
Yiran Wei. (2024). "Adaptive Formation Tracking Control of Multi-CRA via Back-Stepping and RBFNN Approach." Web.
1. Yiran Wei. Adaptive Formation Tracking Control of Multi-CRA via Back-Stepping and RBFNN Approach [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/cdjy-f137
Yiran Wei. "Adaptive Formation Tracking Control of Multi-CRA via Back-Stepping and RBFNN Approach." doi: 10.21227/cdjy-f137