Brief paper: On the stabilizability condition in indirect adaptive control

Authors:
Ph. De Larminat
Affiliations:
Laboratoire de Robotique et d'Informatique Industrielle, Université de Nantes, IUT, 3 rue de Maréchal Joffre, 44041 Nantes Cédex, France
Venue:
Automatica (Journal of IFAC)
Year:
1984

Citing 3
Cited 2

Discrete Linear Control: The Polynomial Equation Approach

Discrete Linear Control: The Polynomial Equation Approach
A survey of model reference adaptive techniques-Theory and applications

Automatica (Journal of IFAC)
On self tuning regulators

Automatica (Journal of IFAC)

On the adaptive control of a class of SISO dynamic hybrid systems

Applied Numerical Mathematics
Paper: Adaptive controllers for discrete-time systems with arbitrary zeros: An overview

Automatica (Journal of IFAC)

Quantified Score

Hi-index	22.15

Visualization

Abstract

Many recent studies on overall stability of adaptive control systems require, among other conditions, that the identified model be stabilizable, at least asymptotically. In fact, the usual identification methods do not guarantee this property, in the passive approach (without exciting extra signals), or if the model order is subject to over-estimation. In order to solve this problem, it is shown in this paper that certain classical identification algorithms can be easily modified in order to ensure the above stabilizability condition, without affecting the other properties.