Title :
Self-triggered feedback systems with state-independent disturbances
Author :
Wang, Xiaofeng ; Lemmon, Michael D.
Author_Institution :
Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
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 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. We also show that the predicted deadlines can be extended by our scheme. Moreover, this scheme appears to be robust to the external disturbances.
Keywords :
delays; feedback; sampled data systems; stability; delays; finishing time; finite-gain L2 stability; sampled-data systems; self-triggered feedback systems; self-triggering scheme; state-independent disturbances; task release time; Control systems; Delay; Detectors; Event detection; Feedback control; Finishing; Hardware; Real time systems; Stability; State feedback;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5160067