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Decentralized controllers design for performance: Equivalent Subsystems Method

Authors: Alena Kozáková; Vojtech Veselý; Jakub Osuský;

Decentralized controllers design for performance: Equivalent Subsystems Method

Abstract

A Nyquist-based frequency domain decentralized controller (DC) design technique for stability and guaranteed performance is proposed applicable for continuous-time systems described transfer function matrices. To guarantee stability and a required performance, interactions are included in individual designs using one selected characteristic locus of the matrix of interactions, further used to reshape frequency responses of decoupled subsystems and produce so-called equivalent subsystems [3]. Local controllers of equivalent subsystems independently tuned for stability and specified feasible performance constitute the resulting decentralized controller that guarantees specified performance of the full system. The developed frequency domain design procedure entitled Equivalent Subsystems Method is graphical, interactive and insightful. Theoretical conclusions are supported by simple examples illustrating step-by-step the DC design procedure.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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