The Informativity Approach: To Data-Driven Analysis and Control

Author:

Van Waarde Henk J.1ORCID,Eising Jaap2,Camlibel M. Kanat3ORCID,Trentelman Harry L.1

Affiliation:

1. Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, The Netherlands

2. Automatic Control Laboratory, ETH Zürich, Zürich, Switzerland

3. University of Groningen, Groningen, The Netherlands

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Modeling and Simulation,Control and Systems Engineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Algebraic approach to synthesis of data-driven control design for dissipativity;SICE Journal of Control, Measurement, and System Integration;2024-07-11

2. Data-Driven Min-Max MPC for Linear Systems;2024 American Control Conference (ACC);2024-07-10

3. Synthesis of Data-Driven Nonlinear State Observers using Lipschitz-Bounded Neural Networks;2024 American Control Conference (ACC);2024-07-10

4. Synthesis of Dissipative Systems Using Input-State Data;2024 European Control Conference (ECC);2024-06-25

5. Data transformation technique in the data informativity approach via algebraic sequences;Kybernetika;2024-05-25

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