State and delay reconstruction for nonlinear systems with input delays
作者： Cuong M. Nguyen , Chee Pin Tan , Hieu Trinh
DOI: 10.1016/J.AMC.2020.125609
关键词: Computer science 、 Bounded function 、 Nonlinear system 、 Minimum phase 、 State (functional analysis) 、 Mode (statistics) 、 Quadratic growth 、 Lipschitz continuity 、 Differentiable function 、 Control theory
摘要: Abstract In this paper, the problem of simultaneously reconstructing states and delays for nonlinear systems subject to input is studied. To relax some limitations classical Lipschitz condition, one-sided quadratically inner-bounded conditions are employed handle nonlinearities. The control inputs bounded unknown time-varying delays. deal with open interesting problem, we propose a sliding mode observer based method estimate identify without making assumption on differentiability Furthermore, our does not require minimum phase condition that common in schemes. effectiveness proposed illustrated by numerical example.
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