HIGHLIGHTS
- who: Pukun Lu and collaborators from the School of Automation Engineering, Northeast Electric Power University, Jilin, China have published the article: Neural Network Based Adaptive Event-Triggered Control for Quadrotor Unmanned Aircraft Robotics, in the Journal: Machines 2022, 10, 617. of /2022/
- what: The control method the authors propose here outperformed the traditional backstepping sliding mode control (BSMC) scheme. The yaw angle range of_(-π/2, π/2) was selected for the purposes of this study. In this paper, the yaw angle, which is represented by x5r, is given and the designed control signal U3 guarantees that . . .
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