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This article is cited in 12 scientific papers (total 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.
Citation:
A. I. Glushchenko, K. A. Lastochkin, V. A. Petrov, “Exponentially stable adaptive control. Part I. Time-invariant plants”, Avtomat. i Telemekh., 2022, no. 4, 62–99; Autom. Remote Control, 83:4 (2022), 548–578
Linking options:
https://www.mathnet.ru/eng/at15760 https://www.mathnet.ru/eng/at/y2022/i4/p62
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Abstract page: | 101 | References: | 31 | First page: | 18 |
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