An Interpolation Technique for Input Constrained Robust Stabilization

  • Jung-Su KimEmail author
  • Young Il Lee
Regular Papers Control Theory and Applications


This paper presents an interpolation technique of two given robust stabilizing gains for input constrained uncertain systems. The proposed interpolated feedback gain is computed at every sampling instance by solving an optimization problem with a single decision variable. Use of the interpolated feedback gain can bring about not only large invariant set but also good control performance. Moreover, it is shown that the feasible and invariant set yielded by the proposed control is the convex hull of the two invariant sets by the known controls. The simulation results show that the proposed interpolation based feedback gain indeed results in both large invariant set and good control performance.


Feasible and invariant set input constraints interpolation model uncertainties 


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Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electrical and Information EngineeringSeoul National University of Science and TechnologySeoulKorea

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