Suboptimal Adaptive Control

  • V. Maletinsky
  • W. Schaufelberger
Conference paper
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 93)


Different algorithms for adaptive control of discrete time systems are derived and discussed in the paper. Gradient and exponential smoothing techniques are used to solve the identification problem. Several sub- optimum solutions to the linear control problem with quadratic performance index are derived. These solutions require by far less computation time than the direct “Matrix-Riccati-solution”. An electromechanical example is used to demonstrate the validity of the approach that is taken in the paper.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1974

Authors and Affiliations

  • V. Maletinsky
    • 1
  • W. Schaufelberger
    • 1
  1. 1.Lehrstuhl für AutomatikETHZürichSwitzerland

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