On the Local Input-Output Stability of Event-Triggered Control Systems
Mohsen Ghodrat, Horacio J Marquez
TL;DR
The paper addresses preserving finite local $L_2$-gain performance for nonlinear event-triggered control systems subject to disturbances bounded by a Lipschitz function of the state. It develops a triggering framework grounded in an ISS/Lyapunov formulation that guarantees ${\|\mathscr{G}_e\|}_{\mathcal{L}_2}\le \Gamma$ when implementing a pre-designed continuous-time controller, and disturbances lie in $\mathscr{W}_Q$. To further reduce communication, it introduces an exponentially decaying triggering threshold and a discrete variant, proving that inter-event times remain uniformly nonzero and, in the absence of disturbances, the zero-input system is globally asymptotically stable; illustrative examples corroborate the theory. The work advances the design of event-triggered controllers by enabling quantitative inter-event-time guarantees and extending stability/performance guarantees to a broader class of nonlinear, disturbance-affected systems. This facilitates more reliable and efficient networked control where data transmission is constrained.
Abstract
This paper studies performance preserving event design in nonlinear event-based control systems based on a local L2-type performance criterion. Considering a finite gain local L2-stable disturbance driven continuous-time system, we propose a triggering mechanism so that the resulting sampled-data system preserves similar disturbance attenuation local L2-gain property. The results are applicable to nonlinear systems with exogenous disturbances bounded by some Lipschitz-continuous function of state. It is shown that an exponentially decaying function of time, combined with the proposed triggering condition, extends the inter-event periods. Compared to the existing works, this paper analytically estimates the increase in intersampling periods at least for an arbitrary period of time. We also propose a so-called discrete triggering condition to quantitatively find the improvement in inter-event times at least for an arbitrary number of triggering iterations. Illustrative examples support the analytically derived results.
