Observer-Based Event-Triggered Control for Stochastic Systems With Sampled-Data Output
研究了具有采样数据输出的随机系统的指数稳定问题，通过构建分段连续函数近似离散输出信号，设计基于预测器的观测器，并提出新的事件触发策略解决输入输出测量不同步问题。
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.