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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2022 Issue 4, Pages 62–99 (Mi at15760)

This article is cited in 12 papers

Robust, Adaptive and Network Control

Exponentially stable adaptive control. Part I. Time-invariant plants

A. I. Glushchenkoa, K. A. Lastochkina, V. A. Petrovb

a Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, 117997 Russia
b Ugarov Staryi Oskol Technological Institute, Branch of National University of Science and Technology “MISiS”, Staryi Oskol, Belgorod oblast, 309516 Russia

Abstract: We propose a new controller parameter adaptive law that guarantees the exponential stability of the classical dynamic model of the tracking error without using its coordinates in the adaptive law and relaxes some classical assumptions and requirements of adaptive control theory (the need to know the sign/value of the control input gain, the need for an experimental choice of the adaptive law gain, and the requirement to the tracking error transfer function to be strictly positive real considering the output feedback control). The applicability of the proposed law to adaptive state and output feedback control problems is shown. The advantages of developed approach over the existing ones are demonstrated mathematically and experimentally.

Keywords: adaptive control, output control, relative degree, time-invariant parameters, parametric error, finite excitation, exponential stability.

Presented by the member of Editorial Board: A. A. Bobtsov

Received: 28.07.2021
Revised: 01.11.2021
Accepted: 27.01.2022

DOI: 10.31857/S0005231022040055


 English version:
Automation and Remote Control, 2022, 83:4, 548–578

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© Steklov Math. Inst. of RAS, 2025