MixedH∞and Passive Projective Synchronization for Fractional Order Memristor-Based Neural Networks with Time-Delay and Parameter Uncertainty
DOI10.1088/0253-6102/68/4/483zbMath1377.34072OpenAlexW2765961641MaRDI QIDQ4599948
Ines Tejado Balsera, Leipo Liu, Xiaona Song, Shuai Song
Publication date: 5 January 2018
Published in: Communications in Theoretical Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/0253-6102/68/4/483
time delayuncertain parametersmemristor-based neural networksfractional-order\(H_\infty\) and passive performanceadaptive projective synchronization
(H^infty)-control (93B36) Biological rhythms and synchronization (92B25) Synchronization of solutions to ordinary differential equations (34D06)
Related Items (1)
Cites Work
- Unnamed Item
- Sampled-data \(H_\infty\) synchronization of chaotic Lur'e systems with time delay
- Adaptive control of fractional-order unified chaotic systems using a passivity-based control approach
- Modified projective synchronization of uncertain fractional order hyperchaotic systems
- Projective synchronization of neural networks with mixed time-varying delays and parameter mismatch
- Projective synchronization for fractional neural networks
- Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks
- Propagation of second order integrodifference equations with local monotonicity
- Function projective synchronization for fractional-order chaotic systems
- Projective synchronization of a new hyperchaotic Lorenz system
- Projective synchronization of fractional-order memristor-based neural networks
- Robust \(H_{\infty }\)control for uncertain fuzzy systems with distributed delays via output feedback controllers
- Fractional differential equations. An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications
- Adaptive synchronization of chaotic systems and its application to secure communications
- Chaotic attractors in delayed neural networks
- Mixed \(\mathcal{H}_{\infty}\)/passive synchronization for complex dynamical networks with sampled-data control
- Non-fragile \(H_\infty\) synchronization of memristor-based neural networks using passivity theory
- Finite-time non-fragile passivity control for neural networks with time-varying delay
- Passivity-based control for uncertain stochastic jumping systems with mode-dependent round-trip time delays
- Modified projective synchronization of fractional-order chaotic systems via active sliding mode control
- \(\alpha\)-stability and \(\alpha\)-synchronization for fractional-order neural networks
- Stability analysis of fractional-order Hopfield neural networks with time delays
- Mittag-Leffler stability of fractional-order Hopfield neural networks
- Projective synchronization of hyperchaotic Lü system and Liu system
- Synchronization of fractional-order complex-valued neural networks with time delay
- Reliable mixed passive and ℋ∞ filtering for semi-Markov jump systems with randomly occurring uncertainties and sensor failures
- H∞ state estimation of generalised neural networks with interval time-varying delays
- Passivity analysis for switched generalized neural networks with time-varying delay and uncertain output
- Passivity and Passification for Networked Control Systems
- Fractional-order systems and PI/sup /spl lambda//D/sup /spl mu//-controllers
- Output feedback H∞ control of systems with parameter uncertainty
- Synchronization in chaotic systems
- State feedbackH∞control of commensurate fractional-order systems
- Impulsive control in continuous and discrete-continuous systems [Book Reviews]
- Finite-Time Stability of Fractional-Order Neural Networks with Delay
- H∞ Model Reduction for Positive Fractional Order Systems
This page was built for publication: MixedH∞and Passive Projective Synchronization for Fractional Order Memristor-Based Neural Networks with Time-Delay and Parameter Uncertainty