Time-varying parameters identification and synchronization of switching complex networks using the adaptive fuzzy-impulsive control with an application to secure communication
From MaRDI portal
Publication:6578694
DOI10.1002/asjc.2464MaRDI QIDQ6578694
Sehraneh Ghaemi, Sohrab Khanmohammadi, Reza Behinfaraz, Mohammadali Badamchizadeh
Publication date: 25 July 2024
Published in: Asian Journal of Control (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Synchronizing nonlinear complex networks via switching disconnected topology
- Pinning impulsive synchronization of complex dynamical networks with various time-varying delay sizes
- Synchronization of directed switched complex networks with stochastic link perturbations and mixed time-delays
- A new contribution for the impulsive synchronization of fractional-order discrete-time chaotic systems
- Robust outer synchronization between two nonlinear complex networks with parametric disturbances and mixed time-varying delays
- Uniform synchronization for chaotic dynamical systems via event-triggered impulsive control
- Pinning-controlled synchronization of delayed neural networks with distributed-delay coupling via impulsive control
- An adaptive method to parameter identification and synchronization of fractional-order chaotic systems with parameter uncertainty
- Advances in chaos theory and intelligent control
- Guaranteed Cost Synchronization of Complex Network Systems with Delay
- Stability results for impulsive differential systems with applications to population growth models
- Synchronization of Complex Networks with Coupled and Self‐Feedback Delays Via Aperiodically Intermittent Strategy
- Lyapunov Functional Approach to Stability Analysis of Riemann‐Liouville Fractional Neural Networks with Time‐Varying Delays
- Complex Systems Dynamics
- Generalized state-space observers for chaotic synchronization and secure communication
- Synchronization for time-varying complex networks based on control
Related Items (2)
Graph-theoretic approach to finite-time synchronization and topology identification of delayed multi-group models with stochastic perturbation and multiple Dispersal ⋮ A new backward shift algorithm for system identification by a good choice of frequencies
This page was built for publication: Time-varying parameters identification and synchronization of switching complex networks using the adaptive fuzzy-impulsive control with an application to secure communication