Passivity analysis of Markov jump BAM neural networks with mode-dependent mixed time-delays via piecewise-constant transition rates
From MaRDI portal
Publication:285730
DOI10.1016/j.jfranklin.2016.02.005zbMath1336.93150OpenAlexW2270319612MaRDI QIDQ285730
Zhiyong Ye, Huihui Ji, Tian Senping, He Zhang
Publication date: 19 May 2016
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.02.005
Lyapunov functionalsMarkov jump bi-directional associative memory (BAM) neural networksswitching delay passivity criterion
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (4)
Passive analysis and finite-time anti-disturbance control for semi-Markovian jump fuzzy systems with saturation and uncertainty ⋮ Stabilization of complex-valued stochastic coupled systems with multiple time delays and regime-switching jump diffusion via periodically intermittent control ⋮ Feedback control based on discrete-time state observations on synchronization of stochastic impulsive coupled systems ⋮ Observer-based passive control of non-homogeneous Markov jump systems with random communication delays
Uses Software
Cites Work
- Global asymptotic stability of Markovian jumping stochastic Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays
- New passivity criteria for fuzzy BAM neural networks with Markovian jumping parameters and time-varying delays
- Passivity analysis of memristor-based recurrent neural networks with time-varying delays
- Robust passivity analysis of fuzzy Cohen-Grossberg BAM neural networks with time-varying delays
- Global attracting sets for neutral-type BAM neural networks with time-varying and infinite distributed delays
- Global asymptotic stability of stochastic Cohen-Grossberg-type BAM neural networks with mixed delays: an LMI approach
- Mean square stabilization and mean square exponential stabilization of stochastic BAM neural networks with Markovian jumping parameters
- Existence and global exponential stability of periodic solution for impulsive Cohen-Grossberg-type BAM neural networks with continuously distributed delays
- Global stability analysis of impulsive BAM type Cohen--Grossberg neural networks with delays
- Exponential \(p\)-stability of delayed Cohen-Grossberg-type BAM neural networks with impulses
- Existence and globally exponential stability of almost periodic solution for Cohen-Grossberg BAM neural networks with variable coefficients
- \(H_\infty \) estimation for discrete-time piecewise homogeneous Markov jump linear systems
- Synchronization for delayed memristive BAM neural networks using impulsive control with random nonlinearities
- Stability of stochastic neural networks of neutral type with Markovian jumping parameters: a delay-fractioning approach
- Passivity analysis of Markov jump neural networks with mixed time-delays and piecewise-constant transition rates
- Passivity-based control for uncertain stochastic jumping systems with mode-dependent round-trip time delays
- An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis
- \(R^{n}_{+}\)-global stability of a Cohen-Grossberg neural network system with nonnegative equilibria
- BAM-type Cohen-Grossberg neural networks with time delays
- Existence and exponential stability of almost periodic solution for neutral delay BAM neural networks with time-varying delays in leakage terms
- Stability analysis of Cohen-Grossberg BAM neural networks with delays and impulses
- Global exponential stability of generalized recurrent neural networks with discrete and distributed delays
- Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
- Exponential estimates and stabilization of uncertain singular systems with discrete and distributed delays
- Cellular neural networks: theory
- Dynamic recurrent neural network for system identification and control
- Necessary and Sufficient Conditions for Analysis and Synthesis of Markov Jump Linear Systems With Incomplete Transition Descriptions
- Neurons with graded response have collective computational properties like those of two-state neurons.
- Stochastic Differential Equations with Markovian Switching
This page was built for publication: Passivity analysis of Markov jump BAM neural networks with mode-dependent mixed time-delays via piecewise-constant transition rates
