Alexey Zhirabok, Alexander Zuev, Alexey Shumsky

A sliding mode technique for reconstruction of unknown control input in linear systems

  • Artificial Intelligence
  • Control and Optimization
  • Fluid Flow and Transfer Processes
  • Computer Vision and Pattern Recognition
  • Physics and Astronomy (miscellaneous)
  • Signal Processing
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The unknown input estimation problem for linear dynamic systems exposed to the disturbances is studied in the paper. A novel approach to designing sliding mode observer is suggested for systems not satisfying matching, minimum phase, and detectability conditions. To apply this approach, the reduced-order model of the original system is used. Such a model allows to reduce the dimension of the sliding mode observer, besides the restrictions placed on the original system are relaxed.

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