EconPapers    
Economics at your fingertips  
 

Quasi-synchronization of stochastic delayed multi-agent systems via gain-waving irregular intermittent control with its application in circuits

Hanfei Li, Jiankun Sun, Dong Pan, Huchen Luo and Sen Li

Applied Mathematics and Computation, 2025, vol. 500, issue C

Abstract: This paper focuses on the quasi-synchronization (Q-S) of stochastic heterogeneous delayed multi-agent systems (SHDMSs), in which a novel irregularly intermittent tactic with unbounded waving feedback gains (IIT-UWG) is imposed on the systems. By the IIT-UWG, the discontinuous control signals received outside hampers can be settled. And the presumable sabotage of actuators caused by the dramatic switching from a negative constant to zero of feedback gain will be averted. The properties of volatility and unboundedness for feedback gain expand the application range compared to previous strategy, while the present solution method is difficult to settle out these added properties, leading to challenges in the research of Q-S. For analyze the Q-S conducively, then we strike up a Halanay-mode inequality with inferior conservatism firstly. We represent a criterion of Q-S in virtue of Lyapunov method, the Halanay-mode inequality, and corresponding complete synchronization is developed. The design scheme of control gain in typical control problems is revealed. The paper concludes with an application and the parallel numerical examples in Chua's circuit.

Keywords: Quasi-synchronization; Stochastic; Heterogeneous delayed multi-agent systems; Time-varying unbounded intermittent feedback gains (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300325001729
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:500:y:2025:i:c:s0096300325001729

DOI: 10.1016/j.amc.2025.129445

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-05-06
Handle: RePEc:eee:apmaco:v:500:y:2025:i:c:s0096300325001729