Formation Optimization Method of Multiple Hypersonic Vehicles
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6613-2_456
Reference12 articles.
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2. Yu, J., Dong, X., Li, Q., Ren, Z.: Practical time-varying formation tracking for second-order nonlinear multiagent systems with multiple leaders using adaptive neural networks. IEEE Trans. Neural Netw. Learn. Syst. 29(12), 6015–6025 (2018)
3. Dong, X., Zhou, Y., Ren, Z., Zhong, Y.: Time-varying formation control for unmanned aerial vehicles with switching interaction topologies. Control. Eng. Pract. 46, 26–36 (2016)
4. Yu, J., Dong, X., Li, Q., Lü, J., Ren, Z.: Adaptive practical optimal time-varying formation tracking control for disturbed high-order multi-agent systems. IEEE Trans. Circ. Syst. I Regular Papers 69(6), 2567–2578 (2022)
5. Yu, J., Dong, X., Li, Q., Lü, J., Ren, Z.: Fully adaptive practical time-varying output formation tracking for high-order nonlinear stochastic multiagent system with multiple leaders. IEEE Trans. Cybern. 51(4), 2265–2277 (2019)
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