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Noisy Sensor Scheduling in Wireless Networked Control Systems: Freshness or Precision

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In linear wireless networked control systems whose control is based on the system state’s noisy and delayed observations, an accurate functional relationship is derived between the estimation error and the… Click to show full abstract

In linear wireless networked control systems whose control is based on the system state’s noisy and delayed observations, an accurate functional relationship is derived between the estimation error and the observations’ freshness and precision. The proposed functional relationship is then applied to formulate and solve the problem of scheduling among different wireless links from multiple noisy sensors, where a sliding window algorithm is further proposed. The algorithm’s simulation results show significant performance gain over existing policies, even in scenarios that require high freshness or precision of observations.

Keywords: control systems; freshness precision; control; wireless networked; networked control

Journal Title: IEEE Wireless Communications Letters
Year Published: 2022

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