A remark on chaotic behavior in adaptive control systems

This note deals with the control of a linear discrete-time system designed on the assumptions that we do not have explicit knowledge of the order of the plant. The objective is to cause the output to track a given constant reference y*, when the initial conditions are in a neighborhood of y *. In pr...

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Autores principales: González, G.A., Troparevasky, M.I., D’ Attellis, C.E.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00189286_v39_n10_p2145_Gonzalez
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spelling todo:paper_00189286_v39_n10_p2145_Gonzalez2023-10-03T14:16:18Z A remark on chaotic behavior in adaptive control systems González, G.A. Troparevasky, M.I. D’ Attellis, C.E. Chaos theory Computer simulation Discrete time control systems Linear control systems Mathematical models Parameter estimation System stability Constant reference Exponential convergence Local regulation Self adjusting control systems This note deals with the control of a linear discrete-time system designed on the assumptions that we do not have explicit knowledge of the order of the plant. The objective is to cause the output to track a given constant reference y*, when the initial conditions are in a neighborhood of y *. In previous papers the presence of chaos was conjectured for an adaptive scheme where the plant to be controlled was a second-order one undermodeled by a first-order one. We show that with an adequate choice of the parameter estimator local regulation with exponential convergence of both the output and the parameter is obtained. © 1994 IEEE. Fil:González, G.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00189286_v39_n10_p2145_Gonzalez
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Chaos theory
Computer simulation
Discrete time control systems
Linear control systems
Mathematical models
Parameter estimation
System stability
Constant reference
Exponential convergence
Local regulation
Self adjusting control systems
spellingShingle Chaos theory
Computer simulation
Discrete time control systems
Linear control systems
Mathematical models
Parameter estimation
System stability
Constant reference
Exponential convergence
Local regulation
Self adjusting control systems
González, G.A.
Troparevasky, M.I.
D’ Attellis, C.E.
A remark on chaotic behavior in adaptive control systems
topic_facet Chaos theory
Computer simulation
Discrete time control systems
Linear control systems
Mathematical models
Parameter estimation
System stability
Constant reference
Exponential convergence
Local regulation
Self adjusting control systems
description This note deals with the control of a linear discrete-time system designed on the assumptions that we do not have explicit knowledge of the order of the plant. The objective is to cause the output to track a given constant reference y*, when the initial conditions are in a neighborhood of y *. In previous papers the presence of chaos was conjectured for an adaptive scheme where the plant to be controlled was a second-order one undermodeled by a first-order one. We show that with an adequate choice of the parameter estimator local regulation with exponential convergence of both the output and the parameter is obtained. © 1994 IEEE.
format JOUR
author González, G.A.
Troparevasky, M.I.
D’ Attellis, C.E.
author_facet González, G.A.
Troparevasky, M.I.
D’ Attellis, C.E.
author_sort González, G.A.
title A remark on chaotic behavior in adaptive control systems
title_short A remark on chaotic behavior in adaptive control systems
title_full A remark on chaotic behavior in adaptive control systems
title_fullStr A remark on chaotic behavior in adaptive control systems
title_full_unstemmed A remark on chaotic behavior in adaptive control systems
title_sort remark on chaotic behavior in adaptive control systems
url http://hdl.handle.net/20.500.12110/paper_00189286_v39_n10_p2145_Gonzalez
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