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Predictive power control of wireless sensor networks for closed loop control

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conference contribution
posted on 2025-05-09, 07:15 authored by Daniel E. Quevedo, Anders Ahlén, Graham GoodwinGraham Goodwin
We study a networked control architecture where wireless sensors are used to measure and transmit plant outputs to a remote controller. Packet loss probabilities depend upon the time-varying communication channel gains and the transmission powers of the sensors. Within this context, we develop a centralized stochastic nonlinear model predictive controller. It determines the sensor power levels by trading energy expenditure for expected plant state variance. To further preserve sensor energies, the power controller sends coarsely quantized power increment commands only when necessary. Simulations on measured channel data illustrate the performance achieved by the proposed controller.

History

Source title

Proceedings of the International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control

Name of conference

International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control (NMPC '08)

Location

Pavia, Italy

Start date

2008-09-05

End date

2008-09-09

Publisher

NMPC '08

Place published

Pavia, Italy

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

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