Passive filter design for fractional-order quaternion-valued neural networks with neutral delays and external disturbance
From MaRDI portal
Publication:6078687
DOI10.1016/j.neunet.2021.01.008zbMath1526.93262MaRDI QIDQ6078687
Sihan Chen, Zhen Jiang Zhao, Qian-Kun Song, Yurong Liu, Fuad Eid S. Alsaadi
Publication date: 28 September 2023
Published in: Neural Networks (Search for Journal in Brave)
linear matrix inequalityfractional orderpassive filteringneutral delayquaternion-valued neural networks
Filtering in stochastic control theory (93E11) Fractional derivatives and integrals (26A33) Quaternion and other division algebras: arithmetic, zeta functions (11R52) Networked control (93B70)
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Cites Work
- Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays
- Passivity properties for stabilization of cascaded nonlinear systems
- Stability analysis of fractional-order complex-valued neural networks with both leakage and discrete delays
- Delay-independent stability criteria for complex-valued BAM neutral-type neural networks with time delays
- A modified Lyapunov functional with application to stability of neutral-type neural networks with time delays
- Nonlinear dynamics and chaos in fractional-order neural networks
- Stability analysis of quaternion-valued neural networks with both discrete and distributed delays
- A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays
- Robust stability analysis of quaternion-valued neural networks with time delays and parameter uncertainties
- Stability analysis of Cohen-Grossberg neural networks of neutral-type: multiple delays case
- New criteria for global stability of neutral-type Cohen-Grossberg neural networks with multiple delays
- Delay independent robust stability analysis of delayed fractional quaternion-valued leaky integrator echo state neural networks with QUAD condition
- Passivity and passification of memristive neural networks with leakage term and time-varying delays
- Quasi-state estimation and quasi-synchronization control of quaternion-valued fractional-order fuzzy memristive neural networks: vector ordering approach
- Robust state estimation for fractional-order complex-valued delayed neural networks with interval parameter uncertainties: LMI approach
- Lyapunov functions for fractional order systems
- Stability analysis of fractional-order Hopfield neural networks with time delays
- Global exponential stability for quaternion-valued recurrent neural networks with time-varying delays
- State estimation for neural networks of neutral-type with interval time-varying delays
- Passivity and global stabilization of cascaded nonlinear systems
- Dissipativity and passivity analysis for discrete‐time complex‐valued neural networks with leakage delay and probabilistic time‐varying delays
- Global exponential stability in Lagrange sense for quaternion-valued neural networks with leakage delay and mixed time-varying delays
- Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays
- Passivity and passification of quaternion‐valued memristive neural networks
- Mittag-Leffler stability analysis of fractional discrete-time neural networks via fixed point technique
- Global exponential stability of a general class of recurrent neural networks with time-varying delays
