Modeling and Control of Boolean Networks

Key Points

• The aim is to present a modeling method for Boolean networks that is accessible to control system researchers.
• Introduced the semi-tensor product for modeling Boolean networks.
• Outlined state equations for dynamic system representation.
• Presented optimization algorithms for control problems including optimal control and KKT control.
• Demonstrated the applicability of semi-tensor product in simplifying Boolean networks.
• Highlighted the effectiveness of optimization algorithms in managing control issues.