Design of nonlinear optimal control for chaotic synchronization of coupled stochastic neural networks via Hamilton-Jacobi-Bellman equation
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Publication:2179322
DOI10.1016/j.neunet.2018.01.003zbMath1441.93344OpenAlexW2789526696WikidataQ50085851 ScholiaQ50085851MaRDI QIDQ2179322
Publication date: 12 May 2020
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2018.01.003
chaotic synchronizationnonlinear optimal controlLyapunov techniquenoise attenuationHamilton-Jacobi-Bellman (HJB) equationcoupled stochastic neural networks
Nonlinear systems in control theory (93C10) Optimal stochastic control (93E20) Networked control (93B70) Hamilton-Jacobi equations in optimal control and differential games (49L12)
Related Items (7)
Adaptive feedback control for synchronization of chaotic neural systems with parameter mismatches ⋮ Observer-based sliding mode control for synchronization of delayed chaotic neural networks with unknown disturbance ⋮ Synchronization of chaotic neural networks with time delay via \textit{distributed delayed impulsive control} ⋮ \textit{Saturated impulsive} control for synchronization of coupled delayed neural networks ⋮ Finite time super twisting controller based on adaptive dual-layer disturbance observer for synchronisation of nonlinear chaotic systems ⋮ HJB equation for optimal control system with random impulses ⋮ Almost surely asymptotic synchronization for stochastic neural networks of neutral type with Markovian jumping parameters
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