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Asian Journal of Control
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Lyapunov Design of Multivariable MRAC via Generalized Passivation

Lyapunov design of multivariable MRAC via generalized passivation
Authors: Hsu, Liu; Teixeira, Marcelo Carvalho Minhoto; Costa, Ramon Romankevicius; Assunção, Edvaldo;

Lyapunov Design of Multivariable MRAC via Generalized Passivation

Abstract

AbstractA Lyapunov design of multiple input, multiple output (MIMO) model‐reference adaptive control (MRAC) systems is proposed using new generalized passivity concepts based on WSPR and WASPR properties. The new design avoids control overparameterization and leads to the simplest unnormalized gradient algorithm by means of a passivating multiplier. To this end, a necessary and sufficient condition on the high frequency gain matrix to achieve the WASPR property is established. This condition is referred to as Positive Diagonal Jordan (PDJ) form. Based on the robustness WSPR and WASPR properties, a systematic determination of a robust passivating matrix multiplier is then presented. The advantages of the new design are illustrated by numerical simulation including a robotics adaptive visual servoing problem and a 4‐input‐4‐output dynamic system. © 2014 Chinese Automatic Control Society and Wiley Publishing Asia Pty Ltd

Country
Brazil
Keywords

visual servoing, Multivariable MRAC, Generalized passivity, Adaptive control, generalized passivity, Multivariable systems, multidimensional control systems, adaptive control, multivariable MRAC, WSPR system, 629, Visual servoing, Adaptive control/observation systems, Linear systems in control theory, Control/observation systems governed by ordinary differential equations

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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!
9
Average
Average
Average
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