Stable auto-tuning of the adaptation gain for indirect adaptive control

Hazem N. Nounou; Kevin M. Passino

doi:10.1109/acc.2000.879583

Stable auto-tuning of the adaptation gain for indirect adaptive control

Hazem N. Nounou^*, Kevin M. Passino

^*Corresponding author for this work

Ohio State University

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

Indirect adaptive control is a widely known control scheme in which we approximate parts of the plant dynamics that are used by a feedback controller to cancel the system nonlinearities. 'Approximators' such as linear mapping, polynomials, fuzzy systems, or neural networks can be used. Here, we present two algorithms to tune the adaptation gain for a gradient-based approximator parameter update law used for a class of nonlinear discrete-time systems.

Original language	English
Pages (from-to)	2159-2163
Number of pages	5
Journal	Proceedings of the American Control Conference
Volume	3
DOIs	https://doi.org/10.1109/acc.2000.879583
Publication status	Published - 2000
Externally published	Yes
Event	2000 American Control Conference - Chicago, IL, USA Duration: 28 Jun 2000 → 30 Jun 2000

Access to Document

10.1109/acc.2000.879583

Cite this

@article{ca57935ce88d41758057fa3cc02ad266,

title = "Stable auto-tuning of the adaptation gain for indirect adaptive control",

abstract = "Indirect adaptive control is a widely known control scheme in which we approximate parts of the plant dynamics that are used by a feedback controller to cancel the system nonlinearities. 'Approximators' such as linear mapping, polynomials, fuzzy systems, or neural networks can be used. Here, we present two algorithms to tune the adaptation gain for a gradient-based approximator parameter update law used for a class of nonlinear discrete-time systems.",

author = "Nounou, \{Hazem N.\} and Passino, \{Kevin M.\}",

year = "2000",

doi = "10.1109/acc.2000.879583",

language = "English",

volume = "3",

pages = "2159--2163",

journal = "Proceedings of the American Control Conference",

issn = "0743-1619",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2000 American Control Conference ; Conference date: 28-06-2000 Through 30-06-2000",

}

TY - JOUR

T1 - Stable auto-tuning of the adaptation gain for indirect adaptive control

AU - Nounou, Hazem N.

AU - Passino, Kevin M.

PY - 2000

Y1 - 2000

N2 - Indirect adaptive control is a widely known control scheme in which we approximate parts of the plant dynamics that are used by a feedback controller to cancel the system nonlinearities. 'Approximators' such as linear mapping, polynomials, fuzzy systems, or neural networks can be used. Here, we present two algorithms to tune the adaptation gain for a gradient-based approximator parameter update law used for a class of nonlinear discrete-time systems.

AB - Indirect adaptive control is a widely known control scheme in which we approximate parts of the plant dynamics that are used by a feedback controller to cancel the system nonlinearities. 'Approximators' such as linear mapping, polynomials, fuzzy systems, or neural networks can be used. Here, we present two algorithms to tune the adaptation gain for a gradient-based approximator parameter update law used for a class of nonlinear discrete-time systems.

UR - https://www.scopus.com/pages/publications/0034539733

U2 - 10.1109/acc.2000.879583

DO - 10.1109/acc.2000.879583

M3 - Conference article

AN - SCOPUS:0034539733

SN - 0743-1619

VL - 3

SP - 2159

EP - 2163

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - 2000 American Control Conference

Y2 - 28 June 2000 through 30 June 2000

ER -

Stable auto-tuning of the adaptation gain for indirect adaptive control

Abstract

Access to Document

Other files and links

Fingerprint

Cite this