控制理论(社会学)
外稃(植物学)
非线性系统
磁滞
模糊逻辑
有界函数
模糊控制系统
跟踪(教育)
自适应控制
班级(哲学)
理论(学习稳定性)
方案(数学)
期限(时间)
数学
计算机科学
跟踪误差
控制(管理)
人工智能
物理
数学分析
心理学
生态学
教育学
机器学习
禾本科
生物
量子力学
摘要
ABSTRACT This article researches a predefined‐time adaptive fuzzy tracking control problem for a class of nonlinear systems with unknown hysteresis. Unlike the previous investigations on predefined‐time control, unknown input hysteresis is considered within this article. The existence of unknown input hysteresis leads to a control gain whose direction is unknown. The Nussbaum function is introduced to get over this difficulty. Lemma 8 is applied to ensure that an integral term with a Nussbaum function is bounded. Thus, the predefined‐time stability criterion is ensured. Furthermore, an adaptive fuzzy control scheme is put forward. The proposed scheme guarantees that the tracking error is able to converge to the vicinity of the origin in an expected time. The practicability of the designed scheme is validated by an electromechanical system.
科研通智能强力驱动
Strongly Powered by AbleSci AI