Adaptive output regulation based on internal model principle for systems, with uncertain disturbances and reference signals

被引：0

作者：

Yao Z. ^{[1
]}

Akaike K. ^{[1
]}

Mizumoto I. ^{[2
]}

机构：

[1] Graduate School of Science and Technology, Kumamoto University, Kumamoto

[2] Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto

来源：

SICE Journal of Control, Measurement, and System Integration | 2021年 / 14卷 / 01期

关键词：

Adaptive control; internal model principle; output regulation;

D O I：

10.1080/18824889.2021.1938490

中图分类号：

学科分类号：

摘要：

An output regulation problem under the existence of disturbances is one of the main objectives to design the control system for mechanical systems, and the strategy based on the internal model principle (IMP) is one of the attractive ways to suppress the disturbances. In this paper, we propose an almost strictly positive real (ASPR) based adaptive output feedback control with adaptive internal model for output regulation for systems with uncertain disturbances and reference signals. The stability of the obtained adaptive control system is analysed, and the effectiveness of the proposed method is confirmed through numerical simulations. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：169 / 179

页数：10

共 12 条

[1]

Bar-Kana I., Positive realness in multivariable continuous-time systems, J Franklin Inst, 328, 4, pp. 403-418, (1991)

[2]

Kaufman H., Barkana I., Sobel K., Direct adaptive control algorithms, (1997)

[3]

Bar-kana I., Parallel feedforward and simplified adaptive control, Int J Adapt Control Signal Process, 1, 2, pp. 95-109, (1987)

[4]

Iwai Z., Mizumoto I., Realization of simple adaptive control by using parallel feedforward compensator, Int J Control, 59, 6, pp. 1543-1565, (1994)

[5]

Mizumoto I., Iwai Z., Simplified adaptive model output following control for plants with unmodelled dynamics, Int J Control, 64, 1, pp. 61-80, (1996)

[6]

Fradkov A.L.

[7]

Feg G., Palaniswami M., Unified treatment of internal model principle based adaptive control algorithms, Int J Control, 54, 4, pp. 883-901, (1991)

[8]

Nikiforov V.O.

[9]

Marino R., Tomei P.

[10]

Yao Z.H., Akaike K., Mizumoto I.

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