控制理论(社会学)
非线性系统
跟踪(教育)
计算机科学
控制(管理)
自适应控制
控制工程
工程类
人工智能
心理学
物理
教育学
量子力学
摘要
ABSTRACT The global adaptive tracking problem for a class of high‐order nonlinear systems with time‐varying powers is considered in the frame of event‐triggered control and prescribed performance methods. A novel error transformation is introduced, distinct from existing approaches, eliminating the constraint on the initial state. To mitigate the risk of tracking error exceeding the prescribed range, a modified performance function is defined, allowing temporary deviation from the prescribed performance. An event‐triggered controller is formulated to ensure that the tracking error can converge to a predefined range within a specified settling time. The validity of the proposed scheme is illustrated by an example.
科研通智能强力驱动
Strongly Powered by AbleSci AI