Скачать или смотреть Event-Triggered Interval Observers Design for Continuous-Time Linear Systems: $L_1$ - Gain Approach

Speaker:
Djahid Rabehi (Department of Electrical Engineering, INSA Lyon and Ampère lab, France)

Abstract:
This work introduces a new approach based on an event-triggered mechanism to design finite-gain L_1 interval observers for linear continuous-time systems in the presence of unknown-but-bounded uncertainties with a priori known bounds on state disturbances and measurement noises. In this setting, measurements are aperiodically sampled in order to reduce online communication between the sensors and the estimation algorithm. The proposed event-triggered mechanism relies on a dynamic condition that depends on the width of the feasible domain of the system’s uncertainties and the width of the estimated state enclosures. Moreover, the proposed approach guarantees the existence of a positive lower bound on the inter-event times, which avoids the Zeno phenomenon. On the other hand, although the sensor data are used in an irregular sampling way, the L_1-stability performance of the estimation error is satisfied.

Reference:
D. Rabehi, N. Meslem, N. Ramdani. Finite-Gain L1 Event-Triggered Interval Observers Design for Continuous-Time Linear Systems. International Journal of Robust and Nonlinear Control, 2021. (https://doi.org/10.1002/rnc.5463)