Adaptive performance/robust control design for discrete systems

Antonios Tzes, K. Le, P. Y. Peng

Research output: Contribution to journalArticle

Abstract

Abstract: The adaptive robust control design problem for discrete systems is addressed in this article. A measure of the system uncertainty is quantified through the application of the set membership (SM) identification scheme. The SM estimator identifies a feasible convex set (parallepiped) of parameters which is consistent with the data and the model structure. Based on these parameters, a robust stabilising controller computes the feasible set of stabilising controller gains. The adaptation mechanism attempts to place the closed loop poles at a certain region inside the unit disc. Simulation studies are offered to validate the efficiency of the proposed method. Indexing terms: Set membership identification. Robust control, Pole assignment

Original languageEnglish (US)
Pages (from-to)95-102
Number of pages8
JournalIEE Proceedings: Control Theory and Applications
Volume144
Issue number1
DOIs
StatePublished - Jan 1 1997

Fingerprint

Robust control
Poles
controllers
poles
Controllers
adaptive control
Model structures
estimators
Identification (control systems)
simulation
Uncertainty

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Adaptive performance/robust control design for discrete systems. / Tzes, Antonios; Le, K.; Peng, P. Y.

In: IEE Proceedings: Control Theory and Applications, Vol. 144, No. 1, 01.01.1997, p. 95-102.

Research output: Contribution to journalArticle

@article{19d3d4b13c1c48aeaaa6e69eb5645ac9,
title = "Adaptive performance/robust control design for discrete systems",
abstract = "Abstract: The adaptive robust control design problem for discrete systems is addressed in this article. A measure of the system uncertainty is quantified through the application of the set membership (SM) identification scheme. The SM estimator identifies a feasible convex set (parallepiped) of parameters which is consistent with the data and the model structure. Based on these parameters, a robust stabilising controller computes the feasible set of stabilising controller gains. The adaptation mechanism attempts to place the closed loop poles at a certain region inside the unit disc. Simulation studies are offered to validate the efficiency of the proposed method. Indexing terms: Set membership identification. Robust control, Pole assignment",
author = "Antonios Tzes and K. Le and Peng, {P. Y.}",
year = "1997",
month = "1",
day = "1",
doi = "10.1049/ip-cta:19970806",
language = "English (US)",
volume = "144",
pages = "95--102",
journal = "IEE Proceedings: Control Theory and Applications",
issn = "1350-2379",
publisher = "Institute of Electrical Engineers",
number = "1",

}

TY - JOUR

T1 - Adaptive performance/robust control design for discrete systems

AU - Tzes, Antonios

AU - Le, K.

AU - Peng, P. Y.

PY - 1997/1/1

Y1 - 1997/1/1

N2 - Abstract: The adaptive robust control design problem for discrete systems is addressed in this article. A measure of the system uncertainty is quantified through the application of the set membership (SM) identification scheme. The SM estimator identifies a feasible convex set (parallepiped) of parameters which is consistent with the data and the model structure. Based on these parameters, a robust stabilising controller computes the feasible set of stabilising controller gains. The adaptation mechanism attempts to place the closed loop poles at a certain region inside the unit disc. Simulation studies are offered to validate the efficiency of the proposed method. Indexing terms: Set membership identification. Robust control, Pole assignment

AB - Abstract: The adaptive robust control design problem for discrete systems is addressed in this article. A measure of the system uncertainty is quantified through the application of the set membership (SM) identification scheme. The SM estimator identifies a feasible convex set (parallepiped) of parameters which is consistent with the data and the model structure. Based on these parameters, a robust stabilising controller computes the feasible set of stabilising controller gains. The adaptation mechanism attempts to place the closed loop poles at a certain region inside the unit disc. Simulation studies are offered to validate the efficiency of the proposed method. Indexing terms: Set membership identification. Robust control, Pole assignment

UR - http://www.scopus.com/inward/record.url?scp=0030677742&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030677742&partnerID=8YFLogxK

U2 - 10.1049/ip-cta:19970806

DO - 10.1049/ip-cta:19970806

M3 - Article

VL - 144

SP - 95

EP - 102

JO - IEE Proceedings: Control Theory and Applications

JF - IEE Proceedings: Control Theory and Applications

SN - 1350-2379

IS - 1

ER -