Aims & Scope

Aims

The Complex Systems Stability & Control (CSSC) is a gold open access, peer-reviewed journal that aims to advance the fundamental understanding, analysis, and design methodologies for achieving stability and effective control in complex systems. The journal serves as a premier forum for disseminating high-impact research that bridges theoretical foundations with practical applications across diverse domains, including (but not limited to) engineering, physics, biology, ecology, neuroscience, economics, and social networks. We foster the development of novel frameworks, tools, and algorithms that address the unique challenges posed by nonlinearity, uncertainty, interconnectedness, adaptation, and emergence inherent in complex systems. It is published quarterly online by Scilight Press.

Scope

Complex Systems Stability & Control (CSSC) publishes original, high-quality research and review articles that advance the fundamental understanding, analysis, and design of stability and control strategies for complex dynamical systems. The journal emphasizes rigorous theoretical frameworks, novel computational methodologies, and cross-disciplinary applications addressing the intrinsic challenges of complexity, including nonlinearity, uncertainty, high dimensionality, interconnectedness, adaptation, and emergent behavior. 

Core Research Areas Include (but are not limited to):

1.Theoretical Foundations:

  • Stability analysis (e.g., Lyapunov methods, input-to-state stability, network stability)
  • Control synthesis (e.g., robust, adaptive, distributed, optimal, data-driven control)
  • Dynamical systems theory for complex structures
  • Resilience, safety, and fault tolerance in interconnected systems

2.Methodological Innovations:

  • Model reduction and abstraction techniques
  • Scalable algorithms for large-scale systems
  • Learning-based and AI-enhanced control frameworks
  • Verification and validation of complex control systems
  • Quantification and management of uncertainty

3.Interdisciplinary Applications:

  • Engineering: Smart grids, robotics, autonomous systems, aerospace, power networks
  • Physics & Chemistry: Collective dynamics, self-organization, quantum control
  • Biological & Ecological Systems: Neural dynamics, cellular regulation, ecosystem resilience
  • Neuroscience: Brain network stability, neuromodulation
  • Economics & Finance: Market stability, systemic risk control
  • Social & Information Networks: Opinion dynamics, epidemic control, cyber-physical security