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Optimal modified performance of MIMO networked control systems with multi-parameter constraints.

Xi-Sheng Zhan1, Ling-Li Cheng2, Jie Wu2

  • 1College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, 435002, China; School of Automation and Electrical Engineering, Linyi University, Linyi, 276005, China.

ISA Transactions
|October 15, 2018
PubMed
Summary
This summary is machine-generated.

This study optimizes multi-input multi-output (MIMO) networked control systems (NCSs) by introducing a new tracking performance index. The research reveals how factors like channel noise and packet dropouts impact system performance.

Keywords:
Encoding–decodingNCSsNMP zerosPacket dropoutsQuantizationUnstable poles

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Area of Science:

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

Background:

  • Networked Control Systems (NCSs) face challenges including channel noise, packet dropouts, and quantization.
  • Existing performance metrics may not adequately address systems without integrators.
  • Multi-input Multi-output (MIMO) systems introduce complexity in control and analysis.

Purpose of the Study:

  • To investigate and optimize the modified performance of MIMO NCSs under various communication impairments.
  • To introduce a novel tracking performance index for NCSs, particularly for plants without an integrator.
  • To analyze the relationship between system performance and factors like encoding-decoding, channel noise, packet dropouts, and plant characteristics.

Main Methods:

  • Utilizing coprime factorization and partial fraction methods to achieve optimal modified performance.
  • Developing a new tracking performance index to ensure consistent tracking error.
  • Analyzing the influence of non-minimum phase (NMP) zeros, unstable poles, and their directions on performance.

Main Results:

  • The optimal modified performance is intrinsically linked to the plant's non-minimum phase (NMP) zeros and unstable poles, including their directions.
  • Packet dropout probability, channel noise, and encoding-decoding strategies significantly affect the optimal modified performance.
  • The proposed tracking performance index effectively manages tracking errors in systems lacking an integrator.

Conclusions:

  • The study provides a theoretical framework for enhancing MIMO NCS performance under realistic network conditions.
  • Understanding the interplay between plant dynamics and network impairments is crucial for optimal control design.
  • The developed methods and index offer practical insights for designing robust and efficient NCSs.