.png){kind=icon}
Return
Robust adaptive state-feedback tracking for nonlinear systems
.png){kind=icon}
PRE
AI
DOI：10.1109/9.654892.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
For a class of single-input/single-output uncertain nonlinear systems, affected both by uncertain time-varying parameters (with known bounds) and unknown time-varying bounded disturbances, a new robust adaptive state-feedback control algorithm is presented. it guarantees: boundedness of all signals and arbitrary disturbance attenuation when both disturbances and time-varying parameters are present and asymptotic tracking with arbitrary transient performance when no disturbance is acting on the system and parameters are constant. The adaptation may be switched off, still guaranteeing bounded signals and disturbance attenuation.
Keywords:
adaptive control
disturbance attenuation
nonlinear systems
robust tracking
uncertain systems
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7
Papers:
1.3W
Citations:
6.7W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSave
View more