Results 21 to 30 of about 2,883,845 (315)

Handling unmeasured disturbances in data-driven distributed control with virtual reference feedback tuning [PDF]

open access: yes, 2021
The data-driven synthesis of a distributed controller in the presence of noise is considered, via the distributed virtual reference feedback tuning (DVRFT) framework. The analysis is performed for a linear interconnected system on an arbitrary graph that
Van den Hof, Paul M.J.   +3 more
core   +1 more source

Direct Data Driven Scheme for UAV Flight Control

open access: yesIEEE Access, 2022
Consider one special closed loop system structure with one unknown plant and two unknown controllers,i.e. feed forward controller and feedback controllers, our missions are to identify this plant and design these two controllers without any physical ...
Wang JIanhong   +2 more
doaj   +1 more source

On Data-Driven Control: Informativity of Noisy Input-Output Data With Cross-Covariance Bounds [PDF]

open access: yes, 2022
In this letter we develop new data informativity based controller synthesis methods that extend existing frameworks in two relevant directions: a more general noise characterization in terms of cross-covariance bounds and informativity conditions for ...
Van den Hof, Paul M.J.   +3 more
core   +1 more source

Model Reference Gaussian Process Regression: Data-Driven State Feedback Controller

open access: yesIEEE Access, 2023
This paper proposes a data-driven state feedback controller that enables reference tracking for nonlinear discrete-time systems. The controller is designed based on the identified inverse model of the system and a given reference model, assuming that the
Hyuntae Kim, Hamin Chang
doaj   +1 more source

Data-Driven Robust Control Using Reinforcement Learning

open access: yesApplied Sciences, 2022
This paper proposes a robust control design method using reinforcement learning for controlling partially-unknown dynamical systems under uncertain conditions.
Phuong D. Ngo   +2 more
doaj   +1 more source

Data-Driven Control: theory and applications [PDF]

open access: yes, 2022
openLo scopo di questa tesi è studiare le tecniche di Data-Driven Control, in particolare viene studiato il problema di controllo attraverso il Data Driven Predictve Control.
OLIVIERO, ALESSANDRA
core  

Data-driven rate-based integral predictive control with estimated prediction matrices

open access: yes, 2021
This paper presents a data-driven approach to the design of predictive controllers. The prediction matrices utilized in standard model predictive control (MPC) algorithms are typically constructed using knowledge of a system model, such as state-space or
Verheijen, P.C.N.   +5 more
core   +1 more source

pyvrft: A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method

open access: yesSoftwareX, 2020
In this paper, the pyvrft, a Python package for the data-driven control method known as Virtual Reference Feedback Tuning (VRFT), is presented. Virtual Reference Feedback Tuning is a control design technique that does not use a mathematical model from ...
Emerson Boeira, Diego Eckhard
doaj   +1 more source

Data-Driven Control-oriented Modelling of Submerged Arc Furnaces [PDF]

open access: yes, 2023
openThe present thesis focuses on the integration of chemophysical knowledge and data-driven insights to develop control-oriented models for submerged arc furnaces (SAF).
FORNASIER, PIERANGELO
core  

Data-driven control in marine systems [PDF]

open access: yesAnnual Reviews in Control, 2018
Abstract With the advent of cheap smart sensors installed on board marine vehicles and the increasing computational power of small embedded processors there is tremendous potential for the implementation of new strategies to control marine systems on the basis of input-output plant data.
Vahid Hassani   +2 more
openaire   +2 more sources

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