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(2205-7425) Distributed adaptive iterative learning exact consensus for nonlinear strict-feedback multi-agent systems with unknown control directions | ||
| Iranian Journal of Fuzzy Systems | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 20 اسفند 1401 اصل مقاله (2.48 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2023.7506 | ||
| نویسندگان | ||
| M. D. Liang* ؛ J. M. Li | ||
| School of Mathematics and Statistics, Xidian University, Xi'an 710071, PR China | ||
| چکیده | ||
| This paper investigates a novel distributed fuzzy adaptive iterative learning control protocol of exact consensus for second-order unknown nonlinear strict-feedback multi-agent systems with partially unknown time-varying control directions. Fuzzy logic system estimates the unknown nonlinear dynamics of each agent. Based on Nussbaum function, the control protocols of all follower agents with partially unknown virtual and actual control directions are designed by the backstepping method. The proposed protocol guarantees that the output of every follower agent could exactly track the desired output trajectory on a finite time interval. As an extension, the formation control results can also be solved. Finally, two simulation examples prove that the proposed control scheme is effective and rigorous. | ||
| کلیدواژه‌ها | ||
| Strict-feedback multi-agent systems؛ unknown control directions؛ fuzzy logic system؛ iterative learning control؛ backstepping design | ||
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آمار تعداد مشاهده مقاله: 12 تعداد دریافت فایل اصل مقاله: 6 |
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