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Published in: Cluster Computing 2/2017

27-03-2017

Second-order continuous characteristic model based adaptive control for a class of linear systems

Authors: Zhenzhen Ge, Jun Zhou

Published in: Cluster Computing | Issue 2/2017

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Abstract

A novel second-order continuous characteristic model for a class of linear systems is proposed, which is different from the traditional discrete characteristic model. The proposed continuous characteristic model has convenient structure denoted by a second-order time-varying differential equation and is equivalent to its original plant in output for the same input. Then the continuous characteristic model is applied to a class of linear plants whose parameters are unknown bounded with bounded derivatives and output is affected by unknown bounded disturbances. As the characteristic parameters of the continuous characteristic model are usually fast time-varying, therefore, the robust adaptive dynamic surface control technique is combined with the continuous characteristic model. The design procedure of proposed adaptive control scheme is simple and the control law is easy to be implemented. With the continuous characteristic model, the state observer is not necessary and the plant system order and structure can be unknown. Finally, it has been proved that all the closed-loop signals are semi-globally uniformly ultimately bounded with the proposed adaptive control scheme. Simulation results have demonstrated that proposed adaptive control scheme has perfect performances.

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Metadata
Title
Second-order continuous characteristic model based adaptive control for a class of linear systems
Authors
Zhenzhen Ge
Jun Zhou
Publication date
27-03-2017
Publisher
Springer US
Published in
Cluster Computing / Issue 2/2017
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-0827-2

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