Static-dynamic hybrid communication scheduling and control co-design for networked control systems.

Area of Science:

• Control Engineering
• Networked Control Systems (NCSs)
• Wireless Communication

Background:

• Networked Control Systems (NCSs) face challenges due to wireless communication capacity limitations.
• Existing scheduling methods may not efficiently handle dynamic conflicts in NCSs.

Purpose of the Study:

• To propose a static-dynamic hybrid communication scheduling and control co-design for NCSs.
• To address wireless network capacity constraints and communication conflicts.

Main Methods:

• Utilizing analytical Most Regular Binary Sequences (MRBSs) for static communication scheduling.
• Implementing a dynamic scheduling strategy for on-line reallocation of medium access upon conflict.
• Modeling NCS plants as non-uniform sampled-control systems with switching controller gains.

Main Results:

• The proposed framework enables simultaneous co-design of controller gains and MRBS parameters.
• Demonstrated effectiveness through numerical and realistic examples.
• Successfully managed non-uniform sampling intervals arising from hybrid scheduling.

Conclusions:

• The static-dynamic hybrid approach effectively enhances NCS performance under communication constraints.
• The co-design framework provides a robust solution for optimizing both control and communication aspects.
• Validated the method's efficacy in practical networked control scenarios.