控制理论(社会学)
死区
有界函数
非线性系统
跟踪误差
计算机科学
控制器(灌溉)
趋同(经济学)
计算
边界(拓扑)
监督人
反推
自适应控制
数学
控制(管理)
算法
法学
人工智能
数学分析
海洋学
物理
量子力学
经济增长
政治学
农学
经济
生物
地质学
作者
Zongsheng Huang,Tieshan Li,Yue Long,Hanqing Yang,C. L. Philip Chen,Hongjing Liang
摘要
Abstract In view of the input dead‐zone, unknown control direction and difficulty in satisfying the prescribed performance that suffered in practical systems, an improved prescribed performance‐based adaptive control scheme is stressed for uncertain nonlinear systems in this paper. Firstly, by adopting a characteristic function, the input dead‐zone is linearized to a model with bounded perturbation. To settle the “computation complexity” issue, an adaptive controller is built via command filter design method, where the fuzzy logic systems are introduced to approximate the unknown nonlinearities. Meanwhile, the Nussbaum function is brought in controller design to counter the hardship of unknown control direction. Besides, the tracking error can be restricted in the prescribed boundary in finite time with the improved performance function. The presented control approach can not only ensure the finite‐time convergence property of tracking error and the boundedness of all signals in the closed‐loop system, but also easily implement in engineering. Finally, the simulation examples confirm the validity of the designed control scheme.
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