New results on prescribed-time synchronization of complex networks via intermittent control.

Wang, Jian-An; Qiao, Zhiming; Zhang, Jie; Li, Mingjie · Neural Netw · 2026

basic_science · Level V

Where this comes from

Abstract

This paper is concerned with the prescribed-time synchronization (PTS) of complex networks (CNs) subject to aperiodically intermittent control (AIC). By introducing an intermittent time-varying function, a prescribed-time stability lemma incorporating the average control rate is developed. This lemma enables PTS analysis under intermittent control framework, establishing a theoretical connection between fixed-time and prescribed-time stability concepts while providing the actual convergence time upper bound precisely in advance. Subsequently, by designing AIC controller on the basis of diagonal function and using the proposed lemma, synchronization stability criteria guaranteeing PTS in CNs are derived. Finally, numerical results, in concert with theoretical analysis, corroborate the proposed scheme's efficacy.