Disturbance rejection for multi-weighted complex dynamical networks with actuator saturation and deception attacks via hybrid-triggered mechanism
Work
Year: 2023
Type: article
Source: Neural Networks
Institutions Chungbuk National University, Kyung Hee University, Kyungpook National University, Bharathiar University, Sungkyunkwan University
Cites: 41
Cited by: 9
Related to: 10
FWCI: 3.199
Citation percentile (by year/subfield): 99.99
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: closed