Results 11 to 20 of about 33,284,379 (304)

Towards data‐driven stochastic predictive control

open access: yesInternational Journal of Robust and Nonlinear Control, 2023
SummaryData‐driven predictive control based on the fundamental lemma by Willems et al. is frequently considered for deterministic LTI systems subject to measurement noise. However, little has been done on data‐driven stochastic control. In this paper, we propose a data‐driven stochastic predictive control scheme for LTI systems subject to possibly ...
Guanru Pan, Ruchuan Ou, Timm Faulwasser
openaire   +4 more sources

Controller identification for data-driven model-reference distributed control [PDF]

open access: yes, 2021
This paper considers data-driven distributed controller synthesis for interconnected linear systems subject to unmeasured disturbances. The considered problem is the optimization of a model-reference control criterion, where the reference model is ...
Tom R.V. Steentjes   +6 more
core   +2 more sources

Data-driven adaptive model-based predictive control with application in wastewater systems [PDF]

open access: yes, 2011
This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based ...
Katebi, M.R.   +3 more
core   +4 more sources

Data-Driven Update of Table-Typed Controller Gain in Tracing Control System by Virtual Internal Model Tuning

open access: yesNihon Kikai Gakkai ronbunshu, 2022
In this paper, we present a new approach to data-driven update of table-typed controller gain in tracing control system. This type of control system is used in various precision processing systems for industrial products.
Noriaki IHORI   +3 more
doaj   +1 more source

Optimization for Data-Driven Learning and Control [PDF]

open access: yesProceedings of the IEEE, 2020
This special issue provides a comprehensive overview of modern optimization tools and methods for the purposes of data-driven learning and control.
Usman A. Khan   +4 more
openaire   +2 more sources

A data‐driven chassis coordination control strategy

open access: yesIET Intelligent Transport Systems, 2021
Collaborative control strategy based on different driving conditions is a challenge for chassis systems with various electronic control units. This paper proposes a chassis cooperative control strategy based on vehicle inertial sensor data.
Entong Tian   +4 more
doaj   +1 more source

Quantized Output Observer-based Data Driven Model-free Adaptive Control

open access: yesJournal of Applied Science and Engineering, 2023
This paper studies the quantized output data observer based data-driven model-free adaptive control(qMFAC) for discrete-time nonlinear systems with unknown structures and network transmission constraints.
Bing Ren, Guangqing Bao
doaj   +1 more source

Synthesis analysis for data driven model predictive control*

open access: yesSystems Science & Control Engineering, 2022
This paper shows our new contributions on data driven model predictive control, such as persistent excitation, optimal state feedback controller, output predictor and stability.
Hong Jianwang   +1 more
doaj   +1 more source

Data-driven control: A behavioral approach [PDF]

open access: yesSystems & Control Letters, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thabiso M. Maupong, Paolo Rapisarda
openaire   +1 more source

Complete Synthesis Analysis for Direct Data Driven Control

open access: yesIEEE Access, 2023
Due to vast data in information era,direct data driven control is more widely studied all over the world, i.e. designing the unknown controller directly from the measured input-output data,while avoiding the modeling process for the unknown plant.
Zeng Bohua, Wang JIanhong
doaj   +1 more source

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