摘要
In this paper, logic-based switching and resetting principles are presented to devise adaptive control laws for a class of uncertain nonlinear systems in order to ensure both the transient bound and the asymptotical convergence of the state. A novel supervisor is constructed to decide when to reset the estimation parameter with the pre-given estimation value. A benchmark example is presented to demonstrate the effectiveness of the approach. © 2014 Chinese Association of Automation.
In this paper, logic-based switching and resetting principles are presented to devise adaptive control laws for a class of uncertain nonlinear systems in order to ensure both the transient bound and the asymptotical convergence of the state. A novel supervisor is constructed to decide when to reset the estimation parameter with the pre-given estimation value. A benchmark example is presented to demonstrate the effectiveness of the approach.
基金
supported by National Natural Science Foundation of China(61403118,61174073,61233002,11271106)
the IAPI Fundamental Research Funds(2013ZCX03-01)
the Natural Science Foundation of Hebei Province(F2015201088)
the Science and Technology Foundation of Hebei Province(QN20131056)
关键词
Nonlinear
systems
Logic-based switching
reset adaptive law
overadaptation
transient performance
uncertain nonlinear systems
