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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Plant and buffer state estimation for networked predictive control over multiple erasure channels.

Francisco J Vargas1, Felipe A Cid1, Alejandro I Maass2

  • 1Electronic Engineering Department Universidad Técnica Federico Santa María, 2390123 Valparaíso, Chile.

ISA Transactions
|February 5, 2023
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Summary
This summary is machine-generated.

This study introduces optimal estimation for networked control systems facing data loss over erasure channels. It develops predictive control and data-dropout compensation for robust system performance.

Keywords:
Multiple packet lossesNetworked predictive controlOptimal estimationSequence-based control

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Area of Science:

  • Control Systems Engineering
  • Networked Systems
  • Estimation Theory

Background:

  • Networked control systems (NCS) face challenges due to data loss in communication channels.
  • Linear, time-variant, and multi-input multi-output (MIMO) plants are common in advanced control applications.
  • Independent erasure channels introduce significant reliability issues in NCS.

Purpose of the Study:

  • To develop optimal estimation techniques for NCS with data losses in both controller-to-plant and plant-to-controller links.
  • To address challenges posed by multiple independent erasure channels.
  • To provide a robust estimation framework for MIMO plants in networked environments.

Main Methods:

  • Networked predictive control strategy with input buffering at actuators.
  • Data-dropout compensation mechanism using optimal estimates for missing measurements.
  • Computation of optimal time-varying estimates for plant state, buffer state, and lost measurements.
  • Development of an optimal stationary estimator as a simplified alternative.

Main Results:

  • Optimal time-varying estimates for the plant and buffer states are derived.
  • Effective estimation of lost measurements is achieved.
  • An optimal stationary estimator is presented, offering computational advantages.
  • The proposed methods ensure reliable state estimation despite data packet losses.

Conclusions:

  • The developed optimal estimation techniques enhance the robustness of networked control systems operating over erasure channels.
  • Networked predictive control and data-dropout compensation are effective strategies for mitigating data loss impacts.
  • The optimal stationary estimator provides a practical and efficient solution for real-time applications.