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Data-driven control of complex networks [PDF]
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
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Towards data-driven stochastic predictive control
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
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Data-Driven Tests for Controllability [PDF]
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
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Detecting the overfilled status of domestic and commercial bins using computer vision
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]
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
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Controller Implementability: A Data-Driven Approach
ISBN:979-8-3503-0124 ...
Alberto Padoan +2 more
openaire +2 more sources
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
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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
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Data-driven simulation and control [PDF]
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
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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
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