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Your search keyword '"Parameter error"' showing total 6 results
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6 results on '"Parameter error"'

1. A Fractional-Order Capacitor Based Method to Suppress Harmonic Current Under Asymmetric Parameters

Author

Lin, Zhile, He, Liangzong, Zhang, Jingyu, Chen, Yifeng, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yang, Qingxin, editor, Li, Jian, editor, Xie, Kaigui, editor, and Hu, Jianlin, editor

Published
2023
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2. Exponentially Stable Adaptive Control. Part II. Switched Systems.

Author

Glushchenko, A. I. and Lastochkin, K. A.

Subjects
*ADAPTIVE control systems, *LINEAR control systems, *EXPONENTIAL stability, *LINEAR systems, *HOPFIELD networks, *CLOSED loop systems
Abstract

An adaptive state-feedback control system for a class of linear systems with piecewise-constant unknown parameters is proposed. The solution ensures a global exponential stability of a closed-loop system under condition that a regressor is finitely exciting after each parameters switch, and does not require neither any knowledge of a plant input matrix, nor the switching time instants. The obtained theoretical results are corroborated by numerical simulations. [ABSTRACT FROM AUTHOR]

Published
2023
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3. Relaxation of Conditions for Convergence of Dynamic Regressor Extension and Mixing Procedure.

Author

Glushchenko, A. I. and Lastochkin, K. A.

Subjects
*PARAMETER identification, *SINGULAR value decomposition
Abstract

A generalization of the dynamic regressor extension and mixing procedure is proposed, which, unlike the original procedure, first, guarantees a reduction of the unknown parameter identification error if the requirement of regressor semi-finite excitation is met, and second, it ensures exponential convergence of the regression function (regressand) tracking error to zero when the regressor is semi-persistently exciting with a rank one or higher. [ABSTRACT FROM AUTHOR]

Published
2023
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4. Structurally parameterized d-scattered set

Author

Michael Lampis, Vangelis Th. Paschos, and Ioannis Katsikarelis

Subjects
Applied Mathematics, 0211 other engineering and technologies, Vertex cover, Parameterized complexity, 021107 urban & regional planning, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Parameter error, Upper and lower bounds, Graph, Combinatorics, Treewidth, 010201 computation theory & mathematics, Independent set, Discrete Mathematics and Combinatorics, Feedback vertex set, Mathematics
Abstract

In d - Scattered Set we are given an (edge-weighted) graph and are asked to select at least k vertices, so that the distance between any pair is at least d , thus generalizing Independent Set . We provide upper and lower bounds on the complexity of this problem with respect to various standard graph parameters. In particular, we show the following: • For any d ≥ 2 , an O ∗ ( d tw ) -time algorithm, where tw is the treewidth of the input graph and a tight SETH-based lower bound matching this algorithm’s performance. These generalize known results for Independent Set . • d - Scattered Set is W[1]-hard parameterized by vertex cover (for edge-weighted graphs), or feedback vertex set (for unweighted graphs), even if k is an additional parameter. • A single-exponential algorithm parameterized by vertex cover for unweighted graphs, complementing the above-mentioned hardness. • A 2 O ( td 2 ) -time algorithm parameterized by tree-depth ( td ), as well as a matching ETH-based lower bound, both for unweighted graphs. We complement these mostly negative results by providing an FPT approximation scheme parameterized by treewidth. In particular, we give an algorithm which, for any error parameter ϵ > 0 , runs in time O ∗ ( ( tw ∕ ϵ ) O ( tw ) ) and returns a d ∕ ( 1 + ϵ ) -scattered set of size k , if a d -scattered set of the same size exists.

Published
2022
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5. Exponentially Stable Adaptive Control. Part II. Switched Systems

Author

Glushchenko, A.I. and Lastochkin, K.A.

Subjects
parameter error, piecewise-constant parameters, exponential stability, identification, switched systems, adaptive control, finite excitation
Abstract

An adaptive state-feedback control system for a class of linear systems with piecewise-constant unknown parameters is proposed. The solution ensures a global exponential stability of a closed-loop system under condition that a regressor is finitely exciting after each parameters switch, and does not require neither any knowledge of a plant input matrix, nor the switching time instants. The obtained theoretical results are corroborated by numerical simulations., Automation and Remote Control, Выпуск 3 2023

Published
2023
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6. Relaxation of Conditions for Convergence of Dynamic Regressor Extension and Mixing Procedure

Author

Glushchenko, A.I. and Lastochkin, K.A.

Subjects
parameter error, convergence, linear regression, singular value decomposition, identification, semi-finite excitation, boundedness, monotonicity, semi-persistent excitation
Abstract

A generalization of the dynamic regressor extension and mixing procedure is proposed, which, unlike the original procedure, first, guarantees a reduction of the unknown parameter identification error if the requirement of regressor semi-finite excitation is met, and second, it ensures exponential convergence of the regression function (regressand) tracking error to zero when the regressor is semi-persistently exciting with a rank one or higher., Automation and Remote Control, Выпуск 1 2023, Pages 16-47

Published
2023
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