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Exponential passive filter design for switched neural networks with time-delay and reaction-diffusion terms

Weipeng Tai

School of Computer Science and Technology, Anhui University of Technology, Ma’anshan 243032, China

Research Institute of Information Technology, Anhui University of Technology, Ma’anshan 243000, China

E-mail Address: [email protected]

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Dong Xu

School of Computer Science and Technology, Anhui University of Technology, Ma’anshan 243032, China

Research Institute of Information Technology, Anhui University of Technology, Ma’anshan 243000, China

E-mail Address: [email protected]

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Tong Guo

School of Computer Science and Technology, Anhui University of Technology, Ma’anshan 243032, China

Research Institute of Information Technology, Anhui University of Technology, Ma’anshan 243000, China

E-mail Address: [email protected]

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, and

Jianping Zhou

https://orcid.org/0000-0002-7024-1227

School of Computer Science and Technology, Anhui University of Technology, Ma’anshan 243032, China

Research Institute of Information Technology, Anhui University of Technology, Ma’anshan 243000, China

E-mail Address: [email protected]

Corresponding author.

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https://doi.org/10.1142/S0217984921504340Cited by:2 (Source: Crossref)

Abstract

This paper investigates the problem of exponential passive filter design for switched neural networks with time-delay and reaction-diffusion terms. With the aid of a suitable Lyapunov–Krasovskii functional and some inequalities, a linear matrix inequality-based design method is developed that not only makes the filtering error system exponentially stable but also forces it to be passive from external interference to output error. Then, the filter design is extended to the complex-valued case via separating the system into real-valued and complex-valued parts. Finally, a numerical example is utilized to illustrate the effectiveness of the filter design methods for the real-valued and complex-valued cases, respectively.

Keywords:

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Vol. 35, No. 25

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History

Received 2 April 2021

Revised 9 June 2021

Accepted 29 June 2021

Published: 11 August 2021

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Exponential passive filter design for switched neural networks with time-delay and reaction-diffusion terms

Abstract

References

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Exponential passive filter design for switched neural networks with time-delay and reaction-diffusion terms

Abstract

References

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