反推
非线性系统
控制理论(社会学)
多智能体系统
计算机科学
集合(抽象数据类型)
功能(生物学)
算法
数学优化
数学
控制(管理)
人工智能
自适应控制
生物
物理
量子力学
进化生物学
程序设计语言
作者
Yingjiang Zhou,Yongzhen Ding,Zicheng Yu,Guo‐Ping Jiang
标识
DOI:10.1109/cac57257.2022.10054783
摘要
The robust prescribed-time algorithms for nonlinear high-order systems and leader-follower systems are investigated with the help of backstepping approach. Firstly, for nonlinear high-order systems, the states can converge to zero within a prescribed time by designing virtual input in each step. Secondly, for leader-follower systems, new error function is defined to achieved consensus among followers and to ensure that follower’s states are identical to leader’s states within the prescribed time that has been arbitrarily set. In addition, the proposed algorithms all have disturbance rejection ability. To show that the suggested algorithms are effective, two numerical simulations are utilised in the end.
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