Performance analyses of RHLQG/FIRF controller

  • Yoo, Kyung-Sang (Department of Electrical Engineering, Inha University) ;
  • Kwon, Oh-Kyu (Department of Electrical Engineering, Inha University)
  • Published : 1993.10.01


In this paper we analyze the RHLQG/FIRF optimal.contol law presented in [4,5] in order to stabilizes a stochastic linear time varying systems with modeling uncertainty. It is shown by the frequency domain analysis that the RHC is robuster than the LQ control law. Explicit LTR procedures are given to improve the robust performance of RHLQC/FIRF cotrol law. Using the mismatching function technique [8], we propose an LTR method which makes the RHLQG/FIRF controller recover the feedback properties of the R.HC law. Also we compare the LTR performance of the RHLQC/FIRF via simulation with conventional LTR methods.