Consistent event-triggered control for discrete-time linear systems with partial state information

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

An event-triggered control (ETC) strategy is consistent if it achieves a better closed-loop performance than that of traditional periodic control for the same average transmission rate and does not generate transmissions in the absence of disturbances. In this letter, we propose a consistent ETC strategy for discrete-time linear systems with partial state information and Gaussian noise and disturbances when the performance is measured by an average quadratic cost, just as in the linear quadratic Gaussian (LQG) framework. This strategy incorporates a scheduler determining transmissions based on the error between two state estimates, which are provided by a stationary Kalman filter at the sensors/scheduler side and an estimator at the controller/actuators side relying on previously transmitted data. Through a numerical example, we show that the proposed strategy can achieve impressive performance gains with respect to periodic control for the same average transmission rate.

LanguageEnglish
Article number8734856
Pages181-186
Number of pages6
JournalIEEE Control Systems Letters
Volume4
Issue number1
DOIs
StatePublished - 2020

Fingerprint

Discrete-time Linear Systems
Linear systems
Partial
Scheduler
Control Strategy
Disturbance
Gaussian Noise
Kalman filters
Kalman Filter
Closed-loop
Actuator
Actuators
Controller
Estimator
Numerical Examples
Sensor
Controllers
Sensors
Costs
Estimate

Keywords

  • Markov processes
  • networked control systems
  • observers for linear systems
  • optimal control
  • stochastic optimal control

Cite this

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abstract = "An event-triggered control (ETC) strategy is consistent if it achieves a better closed-loop performance than that of traditional periodic control for the same average transmission rate and does not generate transmissions in the absence of disturbances. In this letter, we propose a consistent ETC strategy for discrete-time linear systems with partial state information and Gaussian noise and disturbances when the performance is measured by an average quadratic cost, just as in the linear quadratic Gaussian (LQG) framework. This strategy incorporates a scheduler determining transmissions based on the error between two state estimates, which are provided by a stationary Kalman filter at the sensors/scheduler side and an estimator at the controller/actuators side relying on previously transmitted data. Through a numerical example, we show that the proposed strategy can achieve impressive performance gains with respect to periodic control for the same average transmission rate.",
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Consistent event-triggered control for discrete-time linear systems with partial state information. / Antunes, Duarte J.; Balaghi I, M.H.

In: IEEE Control Systems Letters, Vol. 4, No. 1, 8734856, 2020, p. 181-186.

Research output: Contribution to journalArticleAcademicpeer-review

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