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Asymptotic Fuzzy-approximation basedControl of MIMO Systems with Unknown InputNonlinearities and Control Direction
Chen Ci,Liu Zhi *,Zhang Yun
school of automation,Guangdong University of Technology
*Correspondence author
#Submitted by
Subject:
Funding: SpecializedResearch Fund for the Doctoral Program of Higher Education (No.20124420130001)
Opened online:12 June 2016
Accepted by: none
Citation: Chen Ci,Liu Zhi,Zhang Yun.Asymptotic Fuzzy-approximation basedControl of MIMO Systems with Unknown InputNonlinearities and Control Direction[OL]. [12 June 2016] http://en.paper.edu.cn/en_releasepaper/content/4696735
 
 
This paper investigates a fuzzy asymptotic control for MIMO systems with unknown identical control directions,input nonlinearities and external disturbances. Control difficulties from input nonlinearities and their control signs inMIMO systems are simultaneously tackled with the help of a newly constructed Nussbaum theorem. Benefiting fromthis theorem, unmodelled bounded system dynamics and universal approximation errors are also handled withoutconstructing extra robust terms. Hence, both the control simplicity and control robustness are obtained withinthe frame of the developed Nussbaum tool. Furthermore, under the semiglobally uniformly ultimately boundedcondition, the proposed fuzzy control scheme has succeeded in extending the bounded result to the asymptoticconvergence. Finally, a simulation example is carried out to show the proposed approach's effectiveness.
Keywords:Automatic control; input nonlinearities; unknown control direction; asymptotic control
 
 
 

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