Volume 32, Issue 18 pp. 10347-10357
RESEARCH ARTICLE

On robust control invariance and robust set stabilization of mix-valued logical control networks

Jianjun Wang

Jianjun Wang

School of Science and Technology, University of Camerino, Camerino, Italy

School of Mathematical Science, Liaocheng University, Liaocheng, People's Republic of China

Search for more papers by this author
Shihua Fu

Corresponding Author

Shihua Fu

School of Mathematical Science, Liaocheng University, Liaocheng, People's Republic of China

Correspondence Shihua Fu, School of Mathematical Science, Liaocheng University, Liaocheng 252026, People's Republic of China.

Email: [email protected]

Renato De Leone, School of Science and Technology, University of Camerino, Camerino 62032, Italy.

Email: [email protected]

Search for more papers by this author
Renato De Leone

Corresponding Author

Renato De Leone

School of Science and Technology, University of Camerino, Camerino, Italy

Correspondence Shihua Fu, School of Mathematical Science, Liaocheng University, Liaocheng 252026, People's Republic of China.

Email: [email protected]

Renato De Leone, School of Science and Technology, University of Camerino, Camerino 62032, Italy.

Email: [email protected]

Search for more papers by this author
Jianwei Xia

Jianwei Xia

School of Mathematical Science, Liaocheng University, Liaocheng, People's Republic of China

Search for more papers by this author
Lishan Qiao

Lishan Qiao

School of Mathematical Science, Liaocheng University, Liaocheng, People's Republic of China

Search for more papers by this author
First published: 21 September 2022

Funding information: National Natural Science Foundation of China, Grant/Award Numbers: 61803240; 62103716; Natural Science Foundation of Shandong Province, Grant/Award Number: ZR2019BF023

Abstract

This article investigates the robust control invariance and robust set stabilization problems based on a semi-tensor product method for a class of mix-valued logical control networks (MVLCNs) with disturbances. First, a calculation method for the largest robust control invariant subset contained in a given set is proposed. Second, based on the robust control invariant subset, the robust set stabilization of MVLCNs is discussed, and new results are presented. Furthermore, the design algorithm of time-optimal state feedback stabilizers via antecedence solution technique is derived. The study of an illustrative example shows the effectiveness of the obtained new results.

CONFLICT OF INTEREST

There is no conflict of interests for this article.

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.