Observer-Based Event-Triggered Control for Stochastic Systems With Sampled-Data Output
Abstract
In this article, we investigate the exponential stabilization of stochastic systems with sampled-data output. Two kinds of piecewise continuous functions (with/without noise) called intersample predictors are constructed to approximate discrete output signals. Corresponding predictor-based observers are then designed to obtain a good convergence of the estimation error. Based on the proposed predictors and observers, novel event-triggered strategies are developed to achieve exponential stabilization and address the asynchronism issue in input-output measurements. Finally, an illustrative example is provided to verify the effectiveness of the theoretical results.
Fields of Study & Subjects
Stability and Control of Uncertain Systems
Adaptive Control of Nonlinear Systems
Stability and Controllability of Differential Equations
Publication details
- Journal / source
- IEEE Transactions on Systems Man and Cybernetics Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 56
- Issue
- 2
- Pages
- 1464–1473
- Publication date
- 6 January 2026