Filtering Continuous-Time Linear Systems With Time-Varying Measurement Delay

被引:14
|
作者
Cacace, F. [1 ]
Conte, F. [2 ]
Germani, A. [3 ]
机构
[1] Univ Campus Biomed Roma, I-00128 Rome, Italy
[2] Univ Genoa, Dipartimento Ingn Navale Elettr Elettron & Teleco, I-16145 Genoa, Italy
[3] Univ Aquila, Dipartimento Ingn & Sci Informaz & Matemat, I-67100 Laquila, Italy
关键词
Delay systems; estimation theory; Kalman filters; NONLINEAR-SYSTEMS;
D O I
10.1109/TAC.2014.2357138
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We consider the filtering problem of LTI continuous-time systems with known and bounded measurement delays. The aim of the technical note is the design of a finite-dimensional sub-optimal filter whose performance in terms of the estimation error is comparable to optimal infinite-dimensional approaches. We show that the proposed approach allows for a precise characterization of the relationship between measurement delay and the covariance of the estimation error. In the time-varying case no restrictive hypotheses on the delay function are needed. The proposed filter can therefore be applied to delay functions for which traditional infinite-dimensional approaches cannot be straightforwardly applied.
引用
收藏
页码:1368 / 1373
页数:6
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