Jia S, Zhou L. Fixed-time stabilization of fuzzy neutral-type inertial neural networks with proportional delays.
ISA TRANSACTIONS 2024;
144:167-175. [PMID:
37919140 DOI:
10.1016/j.isatra.2023.10.032]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/15/2023] [Accepted: 10/27/2023] [Indexed: 11/04/2023]
Abstract
The issue of fixed-time stabilization (FTS) for a class of fuzzy neutral-type inertial neural networks (FNTINNs) with proportional delays (PDs) is discussed in this research. Two feedback controllers were constructed utilizing the fixed-time stability theorem. Two criteria for figuring out the FTS of FNTINNs with PDs were acquired by building suitable Lyapunov functions (LFs). The theoretical conclusions offered could potentially contribute to a more precise calculation of the upper settling-time (ST) when compared to previously conducted research. Two simulation examples are provided to demonstrate the applicability of the stated theoretical conclusions.
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