Delay-dependent dissipativity criteria for Markovian jump neural networks with random delays and incomplete transition probabilities
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Publication:1655123
DOI10.1007/s11071-017-4028-6zbMath1392.93041OpenAlexW2793013749MaRDI QIDQ1655123
Publication date: 9 August 2018
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-017-4028-6
dissipativitydelayed neural networksMarkovian jumppartly unknown transition probabilitiesprobabilistic delays
Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Boundary value problems on graphs and networks for ordinary differential equations (34B45)
Related Items (8)
Non-fragile sampled data control for stabilization of non-linear multi-agent system with additive time varying delays, Markovian jump and uncertain parameters ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Finite-time stabilization of discontinuous fuzzy neutral-type neural networks with \(D\) operator and multiple time-varying delays ⋮ A hybrid event trigger mechanism and time-delay partitioning are applied to event-driven control systems ⋮ Dissipativity analysis of neutral-type memristive neural network with two additive time-varying and leakage delays ⋮ Dissipative criteria for Takagi-Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations using delay partitioning approach ⋮ Synchronization control of Markov jump neural networks with mixed time-varying delay and parameter uncertain based on sample point controller
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