Global Dynamic Event-Triggered Control for Nonlinear Systems With Sensor and Actuator Faults: A Matrix-Pencil-Based Approach

执行机构 矩阵铅笔 控制理论(社会学) 铅笔(光学) 非线性系统 计算机科学 控制工程 基质(化学分析) 矩阵代数 控制系统 控制(管理) 工程类 人工智能 物理 材料科学 电气工程 机械工程 特征向量 复合材料 量子力学
作者
Hefu Ye,Yongduan Song,Zhirong Zhang,Changyun Wen
出处
期刊:IEEE Transactions on Automatic Control [Institute of Electrical and Electronics Engineers]
卷期号:69 (3): 2007-2014 被引量:7
标识
DOI:10.1109/tac.2023.3313634
摘要

It is practically interesting to achieve global event-triggered control for mismatched uncertain nonlinear systems subject to sensor and actuator faults. In this article, we present a low-conservative solution and consider the output-feedback scenario. The design and analysis innovations include the following: 1) by using a scaling transformation with its gain being online tuned dynamically, we convert the original system with constant coefficients into one with dynamic coefficients, allowing for casting the design procedure within several matrix pencil structures; 2) to deal with discontinuous yet time-varying perturbations arising from the corrupted feedback signals, we insert static damping terms into matrix pencils to ensure that the resulting algorithm is sufficiently robust; and 3) to save communication resources more efficiently as well as to enlarge execution intervals between each information transmission, double-side dynamic event-triggering mechanisms are proposed, where the triggering thresholds are designed as monotonically nonincreasing functions. The resultant control scheme is essentially of linear feedback form without involving any recursiveness, rendering it structurally simple and computational low-complex. In addition, the design parameters consist of the maximum/minimum generalized eigenvalues of the matrix pencils formulated to capture the detailed structure of the uncertainty terms, which consequently leads to control algorithms with low conservativeness and sufficient robustness to mismatched uncertainties and corrupted outputs/inputs. Numerical simulations verify the effectiveness of the proposed method.
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