Synchronization of nonlinear multi-agent systems using a non-fragile sampled data control approach and its application to circuit systems
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2200181.pdf
Reference40 articles.
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2. Ali MS, Agalya R, Shekher V, et al., 2020b. Non-fragile sampled data control for stabilization of non-linear multi-agent system with additive time varying delays, Markovian jump and uncertain parameters. Nonl Anal Hybr Syst, 36:100830. https://doi.org/10.1016/j.nahs.2019.100830
3. Alimi AM, Aouiti C, Assali AE, 2019. Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication. Neurocomputing, 332:29–43. https://doi.org/10.1016/j.neucom.2018.11.020
4. Beard RW, McLain TW, Goodrich MA, et al., 2002. Coordinated target assignment and intercept for unmanned air vehicles. IEEE Trans Robot Autom, 18(6):911–922. https://doi.org/10.1109/TRA.2002.805653
5. Chen LN, Aihara K, 1995. Chaotic simulated annealing by a neural network model with transient chaos. Neur Netw, 8(6):915–930. https://doi.org/10.1016/0893-6080(95)00033-V
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