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Suboptimal Adaptive Control

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

Abstract

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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References

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    Sage/Melsa Estimation theory with Applications to Communications and Control McGraw Hill 1971Google Scholar
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    Hastings/Sage K Recursive generalised least-squares procedure for online identification of process parameters Proceedings IEE, Vol.116, No. 12, pg. 2057–2062Google Scholar
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    Kirk Introduction to optimum control systems/Prentice Hall 1970Google Scholar
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    Kwakernaak/Sivan Linear optimal control systems Wiley 1972Google Scholar
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    Kokotovic/Cruz An approximation theorem for linear optimal regulators Journal of Mathematical Analysis and Applications, Vol. 27,No. 2 1969, Pg. 249–252Google Scholar
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    Vuscovic/Ciric Structural rules for the determination of sensitivity functions of nonlinear, nonstationary systems Radanovic Sensitivity Methods in Control Theory (IFAC) Pergamon Press 1 966Google Scholar

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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