Adaptive stabilization via dynamic event-triggered output feedback for uncertain nonlinear systems
LI Hui
LIU Yun-gang
HUANG Ya-xin
Abstract：This paper is devoted to the global adaptive stabilization via dynamic event-triggered output feedback for a class of uncertain nonlinear systems. Remarkably, the systems admit unmeasured states dependent growth with the rate of unknown polynomial-of-output. Although some continuous adaptive controllers have been proposed, they cannot be trivially extended to the discontinuous (caused by sampled error) context since their fragility stemmed from the skillful integration of nonlinear observer to unmeasured states, dynamic compensation to system unknowns and domination to nonlinearities. To solve the problem, a dynamic high gain and a high-gain-based observer are first introduced to counteract the unknown growth rate and reconstruct the unmeasured system states, respectively. Then noting the ineffectiveness of static event-triggering mechanisms, an event-triggered output-feedback controller is successfully designed by introducing a dynamic event-triggering mechanism to achieve the global boundedness and convergence of the system states. A numerical example is provided to illustrate the validity of the designed controller.
Keywords：nonlinear systemslarge uncertaintiesunknown polynomial-of-output growth rateevent-triggered controladaptive controldynamic event-triggering mechanismglobal output-feedback stabilization
Publication Date：2019-11-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 1871-1878 )