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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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Integration of Precision Agriculture Techniques for Pest Management
Environmental Sciences Proceedings, 2022 Horticultural crops have a special impact on a nation’s economy due to their significance in raising the living standards of farmers. The traditional method for crop protection is becoming ineffective with an increase in climate change effects. Precision
Sehrish Kanwal +8 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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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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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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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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Nihon 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
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Synthesis analysis for data driven model predictive control*
Systems 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
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