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Data-driven control of complex networks [PDF]

open access: yesNature Communications, 2021
Controlling the behavior of a complex network usually requires a knowledge of the network dynamics. Baggio et al. propose a data-driven framework to control a complex dynamical network, effective for non-complete or random datasets, which is of relevance
Giacomo Baggio   +2 more
doaj   +7 more sources

Towards data-driven stochastic predictive control

open access: yesInternational Journal of Robust and Nonlinear Control, 2023
Data-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.
Ou, Ruchuan   +2 more
core   +4 more sources

Data-Driven Tests for Controllability [PDF]

open access: yesIEEE Control Systems Letters, 2021
The fundamental lemma due to Willems et al. “A note on persistency of excitation,” Syst. Control Lett., vol. 54, no. 4, pp. 325–329, 2005 plays an important role in system identification and data-driven control. One of the assumptions for the fundamental lemma is that the underlying linear time-invariant system is controllable.
Mishra, Vikas Kumar   +2 more
openaire   +3 more sources

Detecting the overfilled status of domestic and commercial bins using computer vision

open access: yesIntelligent Systems with Applications, 2023
As the amount of waste being produced globally is increasing, there is a need for more efficient waste management solutions to accommodate this expansion. The first step in waste management is the collection of bins or containers.
Cathaoir Agnew   +8 more
doaj   +1 more source

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   +1 more source

Controller Implementability: A Data-Driven Approach

open access: yes2023 62nd IEEE Conference on Decision and Control (CDC), 2023
ISBN:979-8-3503-0124 ...
Alberto Padoan   +2 more
openaire   +2 more sources

Context Recognition Algorithms for Energy-Efficient Freezing-of-Gait Detection in Parkinson’s Disease

open access: yesSensors, 2023
Freezing of gait (FoG) is a disabling clinical phenomenon of Parkinson’s disease (PD) characterized by the inability to move the feet forward despite the intention to walk. It is one of the most troublesome symptoms of PD, leading to an increased risk of
Luigi Borzì   +2 more
doaj   +1 more source

Gain-Preserving Data-Driven Approximation of the Koopman Operator and Its Application in Robust Controller Design

open access: yesMathematics, 2021
In this paper, we address the data-driven modeling of a nonlinear dynamical system while incorporating a priori information. The nonlinear system is described using the Koopman operator, which is a linear operator defined on a lifted infinite-dimensional
Keita Hara, Masaki Inoue
doaj   +1 more source

Data-driven simulation and control [PDF]

open access: yesInternational Journal of Control, 2008
Classical linear time-invariant system simulation methods are based on a transfer function, impulse response, or input/state/output representation. We present a method for computing the response of a system to a given input and initial conditions directly from a trajectory of the system, without explicitly identifying the system from the data ...
Ivan Markovsky, Paolo Rapisarda
openaire   +3 more sources

The valve opening control of the motor-operated valve using virtual internal model tuning and vata-driven prediction

open access: yesNihon Kikai Gakkai ronbunshu, 2023
This paper deals with applications of data-driven control, which is a controller tuning method that directly utilizes the data, for mechanical systems.
Taichi IKEZAKI   +6 more
doaj   +1 more source

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