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\begin{document}

\title{Fixed time event-triggered control for high-order nonlinear uncertain
systems with time-varying state constraints}



\author[1]{Panpan Yang}%
\author[1]{Xuyang Wang}%
\author[2]{Xingwen Chen}%
\author[1]{dusen du}%
\affil[1]{Chang'an University}%
\affil[2]{Harbin Institute of Technology}%


\vspace{-1em}



  
  \date{May 27, 2024}


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\begin{abstract}
The fixed time event-triggered control for high-order nonlinear
uncertain systems with time-varying state constraints is investigated in
this paper. First, the event-triggered control (ETC) mechanism is
introduced to reduce data transmission in the communication channel. In
consideration of the physical constraints and engineering requirements,
time-varying barrier Lyapunov function (BLF) is deployed to make the
system states confined in the given time-varying constraints. Then, the
radial basis function neural networks (RBF NNs) is used to approximate
the unknown nonlinear terms. Further, the fixed time stability strategy
is deployed to make the system achieve semiglobal practical fixed time
stability (SPFTS) and the convergence time is independent of the initial
conditions. Finally, the proposed control scheme is verified by two
simulation examples.%
\end{abstract}%



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