Adaptive control of linearizable discrete-time systems

Fu-Chuang Chen; Wen Chung Tsao

doi:10.1109/ACC.1994.751869

Adaptive control of linearizable discrete-time systems

Fu-Chuang Chen^*, Wen Chung Tsao

^*Corresponding author for this work

Department of Electrical and Computer Engineering

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

6 Scopus citations

Abstract

The adaptive control of feedback linearizable discrete-time systems is studied. The nonlinearities in the system are linear combinations of know nonlinear functions. Although the unknown parameters appear linearly, the convergence result obtained is not global. The maximum allowable parameter error depends on the system characteristics and on the initial system states. Simulations show that the system diverges when the initial parameter error is too large.

Original language	English
Pages (from-to)	880-881
Number of pages	2
Journal	Proceedings of the American Control Conference
Volume	1
DOIs	https://doi.org/10.1109/ACC.1994.751869
State	Published - 29 Jun 1994
Event	Proceedings of the 1994 American Control Conference. Part 1 (of 3) - Baltimore, MD, USA Duration: 29 Jun 1994 → 1 Jul 1994

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title = "Adaptive control of linearizable discrete-time systems",

abstract = "The adaptive control of feedback linearizable discrete-time systems is studied. The nonlinearities in the system are linear combinations of know nonlinear functions. Although the unknown parameters appear linearly, the convergence result obtained is not global. The maximum allowable parameter error depends on the system characteristics and on the initial system states. Simulations show that the system diverges when the initial parameter error is too large.",

author = "Fu-Chuang Chen and Tsao, {Wen Chung}",

year = "1994",

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doi = "10.1109/ACC.1994.751869",

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AU - Tsao, Wen Chung

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N2 - The adaptive control of feedback linearizable discrete-time systems is studied. The nonlinearities in the system are linear combinations of know nonlinear functions. Although the unknown parameters appear linearly, the convergence result obtained is not global. The maximum allowable parameter error depends on the system characteristics and on the initial system states. Simulations show that the system diverges when the initial parameter error is too large.

AB - The adaptive control of feedback linearizable discrete-time systems is studied. The nonlinearities in the system are linear combinations of know nonlinear functions. Although the unknown parameters appear linearly, the convergence result obtained is not global. The maximum allowable parameter error depends on the system characteristics and on the initial system states. Simulations show that the system diverges when the initial parameter error is too large.

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U2 - 10.1109/ACC.1994.751869

DO - 10.1109/ACC.1994.751869

M3 - Conference article

AN - SCOPUS:0028601165

SN - 0743-1619

VL - 1

SP - 880

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JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - Proceedings of the 1994 American Control Conference. Part 1 (of 3)

Y2 - 29 June 1994 through 1 July 1994

ER -

Adaptive control of linearizable discrete-time systems

Abstract

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