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Design of a Data-Driven PID Controller

IEEE Transactions on Control Systems Technology, 2009
Since most processes have nonlinearities, controller design schemes to deal with such systems are required. On the other hand, proportional-integral-derivative (PID) controllers have been widely used for process systems. Therefore, in this paper, a new design scheme of PID controllers based on a data-driven (DD) technique is proposed for nonlinear ...
Toru Yamamoto   +2 more
openaire   +1 more source

Data-Driven Controller Design for Boolean Control Networks

2018 Annual American Control Conference (ACC), 2018
Model identification of Boolean control networks requires not only a vast amount of data but also renders the problem of high computational complexity. The introduced data-driven design method of a stabilizing feedback controller reduces the requirements on the data set compared to the traditional two step procedure, first model identification then ...
Thomas Leifeld   +2 more
openaire   +1 more source

Unfalsified approach to data-driven control design

53rd IEEE Conference on Decision and Control, 2014
The paper deals with the problem of designing controllers from experimental data. We propose a non-iterative direct approach in which the parameters of a controller of a prescribed order and structure are optimized with respect to a relevant performance criterion. The proposed approach builds upon the so-called unfalsified control theory.
Giorgio Battistelli   +3 more
openaire   +2 more sources

Data-driven predictive control for networked control systems

Information Sciences, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuanqing Xia   +3 more
openaire   +2 more sources

Data-Driven Control: Overview and Perspectives

2022 American Control Conference (ACC), 2022
Wentao Tang 0001, Prodromos Daoutidis
openaire   +1 more source

Data-Driven Control: The conspicuous technology

Annual Reviews in Control, 2023
Alexandre Sanfelici Bazanella   +1 more
openaire   +1 more source

Data-driven control and interconnection [PDF]

open access: possible, 2017
In this thesis we study the design of controllers from data for a class of linear-time invariant dynamical systems. We formulate and study conditions under which data from a system can be used to compute a controller which meets a given performance specification. Under such conditions we develop algorithms for finding a controller.
openaire   +1 more source

Hybrid physics-based and data-driven models for smart manufacturing: Modelling, simulation, and explainability

Journal of Manufacturing Systems, 2022
Jinjiang Wang, Yilin Li, Robert X Gao
exaly  

Data-Driven Control: Theory and Applications

2023 American Control Conference (ACC), 2023
Damoon Soudbakhsh   +8 more
openaire   +1 more source

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