反推
控制理论(社会学)
非线性系统
观察员(物理)
人工神经网络
计算机科学
自适应控制
控制(管理)
严格反馈表
非线性控制
理论(学习稳定性)
国家观察员
数学
人工智能
物理
机器学习
量子力学
作者
Fang Wang,Bing Chen,Chong Lin,Jing Zhang,Xinzhu Meng
标识
DOI:10.1109/tcyb.2017.2715980
摘要
This paper addresses the finite-time tracking issue for nonlinear quantized systems with unmeasurable states. Compared with the existing researches, the finite-time quantized feedback control is considered for the first time. By proposing a new finite-time stability criterion and designing a state observer, a novel adaptive neural output-feedback control strategy is raised by backstepping technique. Under the presented control scheme, the finite-time quantized feedback control problem is coped with without limiting assumption for nonlinear functions.
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