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Yang's PhD work

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Robust and cooperative formation control of nonlinear multi-agent systems

This is the Github website for all the work Yang conducted during his PhD candidature with the University of Adelaide

The chronological publication list for Yang is: (Updated April 2022)

[1] Y. Fei, P. Shi, and C.-C. Lim, “Neural network adaptive dynamic sliding mode formation control of multi-agent systems,” International Journal of Systems Science, vol. 51, no. 11, pp. 2025–2040, August 2020.

[2] Y. Fei, X, Yuan, P. Shi, and C.-C. Lim, "Uncertainty-observer-based dynamic sliding mode formation control for multi-agent systems", Proceedings of the 2020 International Conference on Machine Learning and Cybernetics, pp. 82-87, December 2020.

[3] Y. Fei, P. Shi, and C.-C. Lim, “Robust formation control for multi-agent systems: A reference correction based approach,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 6, pp. 2616–2625, June 2021.

[4] Y. Fei, P. Shi, and C.-C. Lim, “Robust and collision-free formation control of multiagent systems with limited information,” IEEE Transactions on Neural Networks and Learning Systems, September 2021.

[5] Y. Fei, X. Yuan, P. Shi and C.-C. Lim, "Neural-based hierarchical formation control of mixed-order multi-agent systems", Proceedings of the 2021 International Conference on Machine Learning and Cybernetics, pp. 1-6, December 2021.

[6] Y. Fei, Y. Sun and P. Shi, "Robust Hierarchical Formation Control of Unmanned Aerial Vehicles via Neural-Based Observers", Drones (Special Issue), vol. 6, no. 2, pp. 40, February 2022. (Invited paper) (OA)

[7] Y. Fei, P. Shi, and C.-C. Lim, "Neural-based formation control of uncertain multi-agent systems with actuator saturation", Nonlinear Dynamics, vol. 108, pp. 3693–3709, June 2022. (OA)

Yang's Google Scholar: https://scholar.google.com.au/citations?user=6hxiUN4AAAAJ&hl=en

Yang's Researchgate: https://www.researchgate.net/profile/Yang-Fei-15

Yang's Publon: https://publons.com/researcher/4371040/yang-fei/

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Yang's PhD work


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