Dynamic Coding-Based Control Scheme Under Lossy Digital Network: An Optimized Time-Varying Packet Length Approach.

Area of Science:

• Control Systems Engineering
• Networked Control Systems
• Digital Communication

Background:

• Networked control systems face challenges due to data loss and delays.
• Controller performance degrades significantly with packet dropouts.
• Existing methods often struggle with dynamic network conditions.

Purpose of the Study:

• To design a robust controller for systems operating over lossy digital networks.
• To enhance coding accuracy and minimize errors through dynamic strategies.
• To ensure system stability and bounded performance under packet loss.

Main Methods:

• Introduction of the weighted try once-discard (WTOD) protocol for sensor node transmission scheduling.
• Design of a state-dependent dynamic quantizer and time-varying encoding length.
• Development of a feasible state-feedback controller for exponential ultimate boundedness in the mean-square sense.

Main Results:

• Significant improvement in coding accuracy achieved through dynamic quantization and encoding.
• Demonstration that coding error directly impacts the system's convergent upper bound.
• Minimization of the convergent upper bound by optimizing coding lengths.
• Validation of the proposed scheme using double-sided linear switched reluctance machine systems.

Conclusions:

• The proposed dynamic coding and packet-length optimization strategy effectively enhances controller performance in lossy networks.
• Optimized coding lengths are crucial for minimizing system errors and ensuring stability.
• The approach provides a robust solution for networked control systems susceptible to packet loss.