Identification of linear systems in the presence of piecewise polynomial disturbances

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Identification of linear systems in the presence of piecewise polynomial disturbances

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The paper proposes a method of performing system identification of a linear system in the presence of bounded disturbances. The disturbances may be piecewise parabolic or periodic functions. The method is demonstrated effectively on two example systems with a range of disturbances.

Inspec keywords: linear systems; discrete time systems; parameter estimation; polynomials

Other keywords: system identification; bounded disturbances; parameter estimation; piecewise polynomial disturbances; linear systems; periodic disturbances

Subjects: Discrete control systems; Algebra; Simulation, modelling and identification

References

    1. 1)
      • K. Warwick . (1989) Control systems: an introduction.
    2. 2)
      • D.R. Gonzales , P.J. Antsaklis . Internal models in regulations, stabilisationsand tracking. Int. J. Control , 2 , 411 - 430
    3. 3)
      • T.C. Hsia . (1977) System identification.
    4. 4)
      • Ya.Z. Tsypkin , Kokotovic̆ . (1991) Adaptive invariant discrete control systems, Foundations of adaptive control, lecture notes in control and informationsciences.
    5. 5)
      • P.E. Wellstead , M.B. Zarrop . (1991) Self-tuning systems: control and signal processing.
    6. 6)
      • G.C. Goodwin , K.S. Sin . (1984) Adaptive filtering prediction and control.
    7. 7)
      • S. Kaczmarz . Angenäherte Auflösung von Systemen linearer Gleichungen. Bull. Int. Acad. Polonaise Sci., Cl. d. Sc. Mathém , 355 - 357
    8. 8)
      • K. Astrom , B. Wittenmark . (1996) Computer controlled systems: theory and design.
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