Results 1 to 10 of about 33,284,379 (304)
Data-driven control of complex networks [PDF]
Nature 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
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Data-Driven Tests for Controllability [PDF]
IEEE 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
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Detecting the overfilled status of domestic and commercial bins using computer vision
Intelligent 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
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Sensors, 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
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Mathematics, 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
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Controller Implementability: A Data-Driven Approach
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 ISBN:979-8-3503-0124 ...
Padoan, Alberto; id_orcid0000-0003-1597-0395 +2 more
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Nihon 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
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Data-driven simulation and control [PDF]
International 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
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Data Driven Linear Quadratic Gaussian Control Design
IEEE Access, 2023 The implementation of the Linear Quadratic Gaussian (LQG) scheme is often considered problematic as it requires a dynamic model of the system as a whole.
Adi Novitarini Putri +3 more
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On Online Adaptive Direct Data Driven Control
IEEE Access, 2022 Based on our recent contributions on direct data driven control scheme, this paper continues to do some new research on direct data driven control, paving another way for latter future work on advanced control theory.
Wang Jianhong +1 more
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