Mean regulators for discrete systems

Access Full Text

Mean regulators for discrete systems

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

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(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
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings D (Control Theory and Applications) — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

In the paper a regulator, called the mean regulator, is presented for stochastic discrete systems. The mean regulator minimises the supremum of the mean of the absolute value of the system outputs for all disturbances in a space RD and all time. A performance index and a random disturbance space are proposed. The analysis, which is restricted to discrete-time single-input single-output stochastic systems, yields the mean regulator and considers its stability. The simulations illustrate the operation of the mean regulator.

Inspec keywords: discrete time systems; performance index; stochastic systems; stability

Other keywords: discrete-time single-input single-output stochastic systems; random disturbance space; stability; performance index; mean regulator

Subjects: Stability in control theory; Control system analysis and synthesis methods; Time-varying control systems; Discrete control systems

References

    1. 1)
      • V. Zakian . A performance criterion. Int. J. Control , 3 , 921 - 931
    2. 2)
      • Liu, G.P., Zakian, V.: `Sup regulators', 29th IEEE Conference on Decision and Control, December 1990, Hawaii.
    3. 3)
      • R.E. Kalman , R.S. Bucy . New results in linear filtering and prediction theory. Trans. ASME, Ser. D., J. Basic Eng. , 95 - 107
    4. 4)
      • R. Ortega , R. Lozano-Leal . Reformulation of the parameter identification problems with bounded disturbances. Automatica , 2 , 247 - 251
    5. 5)
      • A.P. Sage . (1968) , Optimum systems control.
    6. 6)
      • K.J. Åström . (1970) , Introduction to stochastic control theory.
    7. 7)
      • G.C. GOODWIN , K.S. SIN . (1994) , Adaptive filtering prediction and control.
    8. 8)
      • E. Fogel , Y.F. Huang . On the value of information in system identification — bounded noise case. Automatica , 2 , 229 - 238
    9. 9)
      • Liu, G.P., Zakian, V.: `Sup regulators for critical systems', No. 731, Control Systems Centre Report, 1990.
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-d.1992.0010
Loading

Related content

content/journals/10.1049/ip-d.1992.0010
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading