作者: C. Pradeep , Yang Cao , R. Murugesu , R. Rakkiyappan
DOI: 10.1016/J.MATCOM.2017.11.001
关键词: Term (time) 、 Set (abstract data type) 、 Mathematics 、 Control theory 、 Jump 、 Weighting 、 Scheme (programming language) 、 Synchronization (computer science) 、 Artificial neural network 、 Matrix (mathematics)
摘要: In this paper, synchronization results for semi-Markovian jump neural networks with time-varying delays are investigated based on the event-triggered control scheme. With the …