Self-triggered feedback systems with state-independent disturbances

  • Authors:
  • Xiaofeng Wang;Michael D. Lemmon

  • Affiliations:
  • Department of electrical engineering, University of Notre Dame, Notre Dame, IN;Department of electrical engineering, University of Notre Dame, Notre Dame, IN

  • Venue:
  • ACC'09 Proceedings of the 2009 conference on American Control Conference
  • Year:
  • 2009

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Abstract

This paper studies self-triggering in sampled-data systems, where the next task release time and finishing time are predicted based on the sampled states. We propose a new self-triggering scheme that ensures finite-gain L2 stability of the resulting self-triggered feedback systems. This scheme relaxes the assumptions in [1] that the magnitude of the process noise is bounded by a linear function of the norm of the system state. We show that the sample periods generated by this scheme are always greater than a positive constant. We also provide dynamic deadlines for delays and propose a way that may enlarge predicted deadlines without breaking L2 stability, especially when the predicted deadlines are very short. Simulations show that the sample periods generated by this scheme are longer than those generated by the schemes in [1]. We also show that the predicted deadlines can be extended by our scheme. Moreover, this scheme appears to be robust to the external disturbances.