It is well known that stochastic models have come to play an increasingly important role in a wide range of research and application fields including engineering, physics, biology, finance, mechanics, electronics, and mathematics. The issue of stochastic systems has attracted a large number of researchers’ interests so that various analysis and synthesis problems such as the stability, stabilization, state feedback control, adaptive control, filtering design, tracking control, state estimation, passivity, and adaptive synchronization have been investigated in the literature.

The main aim of this special issue is to present recent developments on the stability theory and control methods of stochastic systems. All the submissions are expected to contain original ideas and novel approaches.

Potential topics include, but are not limited to:

• Stochastic linear and nonlinear systems
• Stochastic delayed systems
• Stochastic stability
• Stochastic neural networks
• State feedback control
• Markov jumping systems
• Stochastic robust control
• Stochastic H∞ control
• Stochastic adaptive control
• Discrete-time stochastic systems
• Industrial and biological stochastic systems
• Stochastic finance and computation