Mathematics of Control, Signals and Systems

, Volume 2, Issue 4, pp 359–380 | Cite as

Chattering linear systems: A model of rapidly oscillating coefficients

  • Zvi Artstein
Article

Abstract

We introduce linear control systems, termed chattering systems, which model instantaneous oscillations in the control parameters. Such systems serve as a limit case of systems with rapidly oscillating control parameters, which can be analyzed as perturbations from the chattering model. Several optimization and regulation problems for chattering systems are examined, along with the robustness property: the possibility of employing the solutions of the chattering case in the rapidly oscillating approximations. The theory is demonstrated on an example of an armature-controlled dc motor.

Key words

Time-varying linear systems Chattering Variational convergence 

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References

  1. [AM]
    B. D. O. Anderson and J. B. Moore,Linear Optimal Control, Prentice-Hall, Englewood Cliffs, NJ, 1971.MATHGoogle Scholar
  2. [A1]
    Z. Artstein, Discrete and continuous bang-bang and facial spaces, or: Look for the extreme points,SIAM Rev.,22 (1980), 172–185.CrossRefMathSciNetGoogle Scholar
  3. [A2]
    Z. Artstein, Stability, observability and invariance,J. Differential Equations,44 (1982), 224–248.CrossRefMathSciNetGoogle Scholar
  4. [A3]
    Z. Artstein, Uniform controllability via the limiting systems,Applied Math. Optim.,9, (1982), 111–131.CrossRefMathSciNetGoogle Scholar
  5. [A4]
    Z. Artstein, A variational convergence that yields chattering systems,Ann. Inst. Henri Poincaré Anal. Non Linéare (to appear).Google Scholar
  6. [A5]
    H. Attouch,Variational Convergence for Functions and Operators, Applicable Mathematics Series, Pitman, London, 1984.MATHGoogle Scholar
  7. [B1]
    P. Billingsley,Convergence of Probability Measures, Wiley, New York, 1968.MATHGoogle Scholar
  8. [B2]
    R. W. Brockett,Finite-Dimensional Linear Systems, Wiley, New York, 1970.MATHGoogle Scholar
  9. [CV]
    C. Castaing and M. Valadier,Convex Analysis and Measurable Multifunctions, Lecture Notes in Mathematics, vol. 580, Springer-Verlag, Berlin, 1977.MATHGoogle Scholar
  10. [K1]
    R. E. Kalman, Contributions to the theory of optimal control,Bol. Soc. Mat. Mexicana,5 (1960), 102–119.MathSciNetGoogle Scholar
  11. [K2]
    B. C. Kuo,Automatic Control Systems, 2nd edn., Prentice-Hall, Englewood Cliffs, NJ, 1967.Google Scholar
  12. [KV]
    J. Kurzweil and Z. Vorel, Continuous dependence of solutions of differential equations on parameters,Czechoslovak Math. J.,7 (1957), 568–583.MathSciNetGoogle Scholar
  13. [KP]
    W. H. Kwon and A. E. Pearson, A modified quadratic cost problem and feedback stabilization of linear systems,IEEE Trans. Automat. Control,22 (1977), 838–842.CrossRefMathSciNetGoogle Scholar
  14. [LM]
    E. B. Lee and L. Markus,Foundations of Optimal Control Theory, Wiley, New York, 1967.MATHGoogle Scholar
  15. [R]
    D. Russel,Mathematics of Finite-Dimensional Control Systems, Marcel-Dekker, New York, 1979.Google Scholar
  16. [T]
    L. Tartar, Compensated compactness and applications to partial differential equations, inNonlinear Analysis and Mechanics (R. J. Knap, ed.), pp. 136–211, Heriot-Watt Symposium, Vol. 4, Pitman, London, 1975.Google Scholar
  17. [W]
    J. Warga,Optimal Control of Differential and Functional Equations, Academic Press, New York, 1972.MATHGoogle Scholar
  18. [Y1]
    T. Yoshizawa,Stability Theory and the Existence of Periodic Solutions and Almost Periodic Solutions, Springer-Verlag, New York, 1975.MATHGoogle Scholar
  19. [Y2]
    L. C. Young,Calculus of Variations and Optimal Control Theory, Saunders, Philadelphia, PA, 1969.MATHGoogle Scholar

Copyright information

© Springer-Verlag New York Inc. 1989

Authors and Affiliations

  • Zvi Artstein
    • 1
  1. 1.Department of Theoretical MathematicsThe Weizmann Institute of ScienceRehovotIsrael

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