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Performance limitations of networked control systems with quantization and packet dropouts.

Xiao-Wei Jiang1, Xian-He Zhang2, Zhi-Hong Guan3

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Summary
This summary is machine-generated.

This study optimizes tracking performance in networked control systems (NCSs) by analyzing quantization and packet dropouts. Minimal tracking error depends on signal direction and system poles/zeros, with performance degradation from errors.

Keywords:
Networked control systemsOptimal trackingPacket-dropoutsQuantization

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Area of Science:

  • Control Systems Engineering
  • Networked Control Systems (NCSs)
  • Signal Processing

Background:

  • Networked Control Systems (NCSs) face challenges like data quantization and packet dropouts.
  • Optimal tracking performance is crucial for system stability and efficiency.
  • Quantization and packet dropouts can significantly degrade system performance.

Purpose of the Study:

  • To investigate optimal tracking performance in linear time-invariant (LTI), multi-input multi-output (MIMO) NCSs.
  • To analyze the impact of quantization and packet dropouts on tracking error.
  • To identify factors influencing minimal tracking error in NCSs.

Main Methods:

  • Utilized the H2 norm of the error signal as the tracking performance index.
  • Investigated stabilizing two-parameter controllers for optimization.
  • Analyzed the relationship between tracking error and system properties like poles, zeros, and signal direction.

Main Results:

  • Established that minimal tracking error is influenced by reference input signal direction, non-minimum phase zeros, and unstable poles.
  • Demonstrated that quantization error and packet dropouts degrade tracking performance.
  • Quantified the impact of these factors on the H2 tracking performance index.

Conclusions:

  • Optimal tracking in NCSs is sensitive to system dynamics and communication channel impairments.
  • Quantization and packet dropouts are significant factors that must be considered for robust NCS design.
  • Theoretical results were validated through a representative example.