Predictor-Based Output-Feedback Control of Linear Stochastic Systems With Large I/O Delays

被引:7
作者
Cacace, Filippo [1 ,2 ]
Germani, Alfredo [3 ]
Manes, Costanzo [3 ]
Papi, Marco [1 ,2 ]
机构
[1] Univ Campus Biomed Roma, I-00144 Rome, Italy
[2] CNR, Ist Anal Sistemi & Informat Antonio Ruberti, Rome, Italy
[3] Univ Aquila, DISIM, I-67100 Laquila, Italy
关键词
Delays; Stochastic systems; Linear systems; Additive noise; Time-varying systems; Discrete wavelet transforms; Numerical stability; Delay systems; output feedback; stochastic systems; FINITE SPECTRUM ASSIGNMENT; H-INFINITY CONTROL; TIME; STABILIZATION; STATE;
D O I
10.1109/TAC.2020.2974442
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we extend the stability results of cascaded closed-loop predictors for deterministic systems to stochastic linear systems with additive noise and arbitrarily large time-varying input delay, under suitable hypothesis on the delay function. We propose an output-feedback controller design based on a set of differential delay equations with size depending on the delay bound and we show that it ensures exponential stability in mean and mean square stability of the controlled system. The result is extended to multiple delays on separate input signals and to systems with arbitrarily large output delays.
引用
收藏
页码:307 / 313
页数:7
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