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  5. A novel set‐membership control strategy for discrete‐time linear time‐varying systems

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Article
English
2019

A novel set‐membership control strategy for discrete‐time linear time‐varying systems

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English
2019
IET Control Theory and Applications
Vol 13 (18)
DOI: 10.1049/iet-cta.2018.5783

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Qinglong Qinglong Han
Qinglong Qinglong Han

Swinburne University Of Technology

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Yilian Zhang
Fuwen Yang
Qinglong Qinglong Han
+1 more

Abstract

A novel set-membership control strategy is investigated for a class of discrete time-varying systems with unknown-but-bounded noises. Different from some existing set-membership estimation based control methods, the proposed control strategy is designed by using state estimation sets instead of some specific estimation points. The controlled performance requirement is modelled as a new set-membership performance constraint which ensures that the controlled output meets the requirement at any time instant. First, the set-membership filtering method is used for obtaining the ellipsoidal state estimation set. Second, a set-membership controller is constructed by utilising the state estimation which is arbitrarily chosen from the corresponding estimation set. Accordingly, sufficient conditions are derived such that the controlled system is asymptotically stable and satisfies the proposed performance constraint in the presence of unknown-but-bounded noises at each time instant. Then, a constructive computational algorithm is provided to describe the proposed control strategy. Finally, illustrative simulation examples are presented to demonstrate the effectiveness of the proposed method.

How to cite this publication

Yilian Zhang, Fuwen Yang, Qinglong Qinglong Han, Yanfei Zhu (2019). A novel set‐membership control strategy for discrete‐time linear time‐varying systems. IET Control Theory and Applications, 13(18), pp. 3087-3095, DOI: 10.1049/iet-cta.2018.5783.

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Publication Details

Type

Article

Year

2019

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

IET Control Theory and Applications

DOI

10.1049/iet-cta.2018.5783

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