.png){kind=icon}
.png){kind=icon}
Return
Observer-based quantized state feedback stabilization for nonlinear systems with external disturbance
.png){kind=icon}
PRE
AI
DOI：10.1002/rnc.5433.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This article studies the quantized feedback stabilization problem for nonlinear control systems with external disturbance. To ensure the transmission data rate as minimal as possible, a coarse quantizer is applied, and the quantization procedure has two stages: zooming-out stage and zooming-in stage. To detect the effects of the disturbance and to utilize quantization regions as less as possible, both zooming-out stage and zooming-in stage are divided into two substages. Based on the quantization mechanism with four substages, a new control strategy is proposed. Using the proposed control strategy and the state trajectory based method, the state feedback stabilization is studied, and sufficient conditions are established to guarantee input-to-input stability of the closed-loop system. Finally, two numerical examples are presented to illustrate the derived results.
Keywords:
external disturbance
input‐ to‐ state stability
nonlinear systems
quantized control
state feedback stabilization
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.2
Papers:
6.9K
Citations:
1.4W