Synchronization of stochastic reaction-diffusion systems via boundary control

DOI10.1007/s11071-018-4455-zzbMath1422.93064OpenAlexW2810650995WikidataQ129643953 ScholiaQ129643953MaRDI QIDQ2275014

Cheng-Chew Lim, Kai-Ning Wu, Ji'an Wang

Publication date: 2 October 2019

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11071-018-4455-z

zbMATH Keywords

boundary controlsynchronization\(H_\infty\) synchronizationstochastic reaction-diffusion systems

Mathematics Subject Classification ID

Reaction-diffusion equations (35K57) (H^infty)-control (93B36) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Stochastic systems in control theory (general) (93E03) Synchronization of solutions to ordinary differential equations (34D06)

Related Items (10)

Passivity-based boundary control for delay reaction-diffusion systems ⋮ Observer-based sliding mode control for stochastic hyperbolic PDE systems with quantized output signal ⋮ Spacial sampled-data control for \(H_\infty\) output synchronization of directed coupled reaction-diffusion neural networks with mixed delays ⋮ Quasi-synchronization of heterogeneous stochastic coupled reaction-diffusion neural networks with mixed time-varying delays via boundary control ⋮ Fixed-time boundary stabilisation for delay reaction–diffusion systems ⋮ Spatial sampled-data control for stochastic reaction-diffusion systems ⋮ Stability criteria of stochastic nonlinear systems with asynchronous impulses and switchings ⋮ Intermittent boundary stabilization of stochastic reaction-diffusion Cohen-Grossberg neural networks ⋮ Boundary Mittag-Leffler stabilization of fractional reaction-diffusion cellular neural networks ⋮ Two boundary coupling approaches for synchronization of stochastic reaction-diffusion neural networks based on semi-linear PIDEs

Cites Work

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