Identification of linear systems in the presence of piecewise polynomial disturbances

Identification of linear systems in the presence of piecewise polynomial disturbances

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IEE Proceedings - Control Theory and Applications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

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.


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

Related content

This is a required field
Please enter a valid email address