Data-Driven Finite-Time Control for Discrete-Time Linear Time-Invariant Systems

被引：0
|
作者：
Li, Jinjiang [1 ,2 ]
Liu, Tao [1 ,2 ]
Liu, Tengfei [3 ]
机构：
[1] Univ Hong Kong HKU, Dept Elect & Elect Engn, Hong Kong, Peoples R China
[2] HKU Shenzhen Inst Res & Innovat, Shenzhen, Peoples R China
[3] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang, Peoples R China
来源：
2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC | 2023年
基金：
中国国家自然科学基金;
关键词：
STABILITY; ROBUST;
D O I：
10.1109/CDC49753.2023.10383737
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper studies the data-driven finite-time control (FTC) problem of unknown discrete-time linear time-invariant (LTI) systems with unknown and bounded noise. The proposed FTC aims to guarantee that the state of such a system does not exceed a given bound over a finite time interval under bounded initial conditions. Data-dependent representations are built for the unknown system without and with noise from pre-collected input/state data, based on which a finite-time controller is designed. Sufficient conditions of finite-time stability/boundness of the closed-loop system without/with noise are derived. Compared with model-based FTC methods that strongly depend on some accurate system models, the proposed method is model-free and only relies on pre-collected data. Numerical simulations are performed to illustrate the effectiveness of the proposed scheme.
引用
收藏
页码：1595 / 1600
页数：6
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