Stabilisation, co-ordination and structuralisation in the integrated automation of complex systems

Area of Science:

• Control Systems Engineering
• Complex Systems Analysis
• Automation and Robotics

Background:

• Integrated automation relies on module composition and structural parallelism.
• Controlling complex systems requires robust analysis and synthesis methodologies.
• System tracking based on inter-system distance is a key consideration.

Purpose of the Study:

• To develop a methodology for the analysis and synthesis of complex system control.
• To establish unit control based on tracking trajectories determined by global system behavior.
• To enable stabilization and coordination of interconnected global systems.

Main Methods:

• Utilizing structural parallelism and module composition for system design.
• Implementing a tracking approach based on inter-system distance.
• Founding unit control on trajectory tracking derived from global system behavior.
• Employing distributed decision centers with participation in collective efforts.

Main Results:

• The proposed methodology facilitates the analysis and synthesis of complex control systems.
• Unit control effectively tracks trajectories dictated by the overall system's behavior.
• The distributed decision centers contribute to the overall stabilization of the interconnected system.
• The global system demonstrates ease of coordination and restructuring via a directing decision center.

Conclusions:

• The methodology provides a foundation for controlling complex systems through parallel structures and module composition.
• Trajectory tracking and distributed decision-making are crucial for achieving system stability and coordination.
• A centralized directing decision center with a global model enhances system manageability.