On the Design of Persistently Exciting Inputs for Data-Driven Control of Linear and Nonlinear Systems

被引:2
|
作者
Alsalti, Mohammad [1 ]
Lopez, Victor G. [1 ]
Muller, Matthias A. [1 ]
机构
[1] Leibniz Univ Hannover, Inst Automat Control, D-30167 Hannover, Germany
来源
基金
欧洲研究理事会;
关键词
Data-driven control; persistence of excitation; identification for control; EXCITATION;
D O I
10.1109/LCSYS.2023.3287133
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 the context of data-driven control, persistence of excitation (PE) of an input sequence is defined in terms of a rank condition on the Hankel matrix of the input data. For nonlinear systems, recent results employed rank conditions involving collected input and state/output data, for which no guidelines are available on how to satisfy them a priori. In this letter, we first show that a set of discrete impulses is guaranteed to be persistently exciting for any controllable LTI system. Based on this result, for certain classes of nonlinear systems, we guarantee persistence of excitation of sequences of basis functions a priori, by design of the physical input only.
引用
收藏
页码:2629 / 2634
页数:6
相关论文
共 50 条
  • [1] Introducing Dynamic Programming and Persistently Exciting into Data-Driven Model Predictive Control
    Hong Jianwang
    Ramirez-Mendoza, Ricardo A.
    Morales-Menendez, Ruben
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [2] Observer Design for Nonlinear Networked Control Systems With Persistently Exciting Protocols
    Maass, Alejandro I.
    Nesic, Dragan
    Postoyan, Romain
    Dower, Peter M.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (07) : 2992 - 3006
  • [3] Data-Driven LQR Design for LTI systems with Exogenous Inputs
    Digge, Vijayanand
    Pasumarthy, Ramkrishna
    [J]. 2022 30TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2022, : 239 - 244
  • [4] Robust Controller Design For Linear Systems With Nonlinear Distortions: A Data-Driven Approach
    Nicoletti, Achille
    Karimi, Alireza
    [J]. 2018 EUROPEAN CONTROL CONFERENCE (ECC), 2018, : 172 - 177
  • [5] Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems for Control
    Tiwari, Madhur
    Nehma, George
    Lusch, Bethany
    [J]. IEEE CONTROL SYSTEMS LETTERS, 2023, 7 : 3373 - 3378
  • [6] Data-driven ensemble optimal compensation control for partially known delayed and persistently disturbed nonlinear systems
    Guo, Xuyang
    Zhang, Changzhu
    Zhang, Hao
    Han, Seungyong
    Kommuri, Suneel Kumar
    Wang, Zhuping
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (06):
  • [7] Data-Driven Design of Braking Control Systems
    Formentin, Simone
    De Filippi, Pierpaolo
    Corno, Matteo
    Tanelli, Mara
    Savaresi, Sergio M.
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (01) : 186 - 193
  • [8] Robust Data-Driven Control Design for Linear Systems Subject to Input Saturation
    Seuret, Alexandre
    Tarbouriech, Sophie
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (09) : 6191 - 6198
  • [9] A Data-Driven Design of Optimal ILC for Nonlinear Systems
    Chi Ronghu
    Hou Zhongsheng
    Jin Shangtai
    Wang Danwei
    [J]. PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 7076 - 7079
  • [10] Designing Experiments for Data-Driven Control of Nonlinear Systems
    De Persis, Claudio
    Tesi, Pietro
    [J]. IFAC PAPERSONLINE, 2021, 54 (09): : 285 - 290