Observer Design for Linear Aperiodic Sampled-Data Systems: A Hybrid Systems Approach
Observer Design for Linear Aperiodic Sampled-Data Systems: A Hybrid Systems Approach
复制标题
线性非周期采样数据系统的观测器设计：混合系统方法
作者：
Francesco Ferrante;A. Seuret
研究了具有非周期采样测量的线性系统的观测器设计问题。为了解决这个问题，一种新的混合观测器的设计。建议的观察员的主要特点包括使用两个输出注入项，一个作用在采样时刻，一个提供一个intersample注入。增加了一个定时器变量触发到达一个新的测量和分析通过混合系统工具的误差动态。利用李雅普诺夫理论，给出了观测器收敛的充分条件.根据这些条件，提出了一种基于LMI的观测器增益的优化设计。最后通过实例验证了该方法的有效性。
Observer design for linear systems with aperiodic sampled-data measurements is addressed. To solve this problem, a novel hybrid observer is designed. The main peculiarity of the proposed observer consists of the use of two output injection terms, one acting at the sampling instants and one providing an intersample injection. The error dynamics are augmented with a timer variable triggering the arrival of a new measurement and analyzed via hybrid system tools. Using Lyapunov theory, sufficient conditions for the convergence of the observer are provided. Relying on those conditions, an optimal LMI-based design is proposed for the observer gains. The effectiveness of the approach is illustrated in an example.
混合包含物的成本评估：李亚普诺夫方法
DOI：
10.1109/cdc.2018.8619155
发表时间：
2018
期刊：
IEEE Conference on Decision and Control
影响因子：
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作者：
Ferrante, Francesco;Sanfelice, Ricardo G.
通讯作者：
Sanfelice, Ricardo G.