反推
控制理论(社会学)
量化(信号处理)
非线性系统
有界函数
间断(语言学)
数学
自适应控制
计算机科学
控制(管理)
算法
人工智能
量子力学
物理
数学分析
作者
Jing Zhou,Changyun Wen,Wei Wang,Fan Yang
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2019-11-01
卷期号:64 (11): 4756-4763
被引量:148
标识
DOI:10.1109/tac.2019.2906931
摘要
This paper investigates the stabilization problem for uncertain nonlinear systems with quantized states. All states in the system are quantized by a static bounded quantizer, including uniform quantizer, hysteresis-uniform quantizer, and logarithmic-uniform quantizer as examples. An adaptive backstepping-based control algorithm, which can handle discontinuity, resulted from the state quantization and a new approach to stability analysis are developed by constructing a new compensation scheme for the effects of the state quantization. Besides showing the global ultimate boundedness of the system, the stabilization error performance is also established and can be improved by appropriately adjusting design parameters. Simulation results illustrate the effectiveness of our proposed scheme.
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