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pro vyhledávání: '"Pinwei Li"'
Publikováno v:
Complexity, Vol 2020 (2020)
This paper examines approximation-based fixed-time adaptive tracking control for a class of uncertain nonlinear pure-feedback systems. Novel virtual and actual controllers are designed that resolve the meaninglessness of virtual and actual controller
Externí odkaz:
https://doaj.org/article/4a3ecda6abc543a291613bb96d38983e
Publikováno v:
Complexity, Vol 2020 (2020)
In this brief, we study the distributed adaptive fixed-time tracking consensus control problem for multiple strict-feedback systems with uncertain nonlinearities under a directed graph topology. It is assumed that the leader’s output is time varyin
Externí odkaz:
https://doaj.org/article/9a009e02b9c7412196e18a88584df760
Autor:
Zijian Hu, Fengjun Bai, Huajie Wang, Chuanhui Sun, Pinwei Li, Haoyan Li, Yunlong Fu, Jie Zhang, Yin Luo, Herick Yoander Nunez Perozo
Publikováno v:
Day 1 Mon, March 20, 2023.
Log interpretation is critical in locating pay zones and evaluating their potential. Conventional log interpretation is done manually. In our work, deep learning methods are utilized to deal with preliminary pay zone classification. In this way, huma
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
This paper investigates adaptive fixed-time tracking consensus control problems for multiagent nonlinear pure-feedback systems with performance constraints. Compared with existing results of first/second/high-order multiple agent systems, the studied
Publikováno v:
Complexity, Vol 2020 (2020)
This paper examines approximation-based fixed-time adaptive tracking control for a class of uncertain nonlinear pure-feedback systems. Novel virtual and actual controllers are designed that resolve the meaninglessness of virtual and actual controller