控制理论(社会学)
趋同(经济学)
上下界
弹道
滑模控制
执行机构
理论(学习稳定性)
计算机科学
功能(生物学)
自适应控制
控制(管理)
数学
物理
数学分析
非线性系统
天文
人工智能
量子力学
机器学习
进化生物学
经济
生物
经济增长
作者
Haifeng Ma,Weixiang Liu,Zhenhua Xiong,Yangmin Li,Zhanqiang Liu,Yuxin Sun
标识
DOI:10.1109/tii.2022.3143606
摘要
This article reports the design and validation of a novel predefined-time barrier function adaptive sliding-mode control (PTBFASMC) strategy for robust control of disturbed systems. The PTBFASMC strategy is established by integrating the time base generator along with the barrier function. Unlike existing similar works, the proposed method enables global predefined-time convergence, i.e., the system trajectory returns to the ultimate bound even if an escape occurs at a certain time instant. Besides, the convergence time can be predefined by the user, which is independent of the initial conditions and disturbance. Moreover, the reaching phase is eliminated and the magnitude of initial control output is zero. Another attractive feature of the proposed method lies in that the ultimate bound can be predefined, i.e., the ultimate bound is independent of the upper bound of disturbance. To avoid large control magnitude, a modified control strategy is provided, which extends the proposed scheme to different scenarios. The stability of the control system is demonstrated, and its superiority is verified through numerical simulations and experimental investigations on a piezoelectric actuator.
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