Results 1 to 10 of about 3,974,478 (339)
Dual-Input Slope Seeking Control of Continuous Micro-Algae Cultures with Experimental Validation
Applied Sciences, 2021 This paper investigates the application of adaptive slope-seeking strategies to dual-input single output dynamic processes. While the classical objective of extremum seeking control is to drive a process performance index to its optimum, this paper also ...
Christian Feudjio Letchindjio +4 more
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Parameter Estimation of Dynamic Beer Fermentation Models
Foods, 2022 In this study, two dynamic models of beer fermentation are proposed, and their parameters are estimated using experimental data collected during several batch experiments initiated with different sugar concentrations. Biomass, sugar, ethanol, and vicinal
Jesús Miguel Zamudio Lara +3 more
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Mathematics, 2022 Extended Dynamic Mode Decomposition (EDMD) allows an approximation of the Koopman operator to be derived in the form of a truncated (finite dimensional) linear operator in a lifted space of (nonlinear) observable functions.
Camilo Garcia-Tenorio +1 more
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Deep High-Resolution Representation Learning for Human Pose Estimation [PDF]
Computer Vision and Pattern Recognition, 2019 In this paper, we are interested in the human pose estimation problem with a focus on learning reliable high-resolution representations. Most existing methods recover high-resolution representations from low-resolution representations produced by a high ...
Ke Sun +3 more
semanticscholar +1 more source
A Concise Review of State Estimation Techniques for Partial Differential Equation Systems
Mathematics, 2021 While state estimation techniques are routinely applied to systems represented by ordinary differential equation (ODE) models, it remains a challenging task to design an observer for a distributed parameter system described by partial differential ...
Ivan Francisco Yupanqui Tello +2 more
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OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime approach to detect the 2D pose of multiple people in an image.
Zhe Cao +4 more
semanticscholar +1 more source
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields [PDF]
Computer Vision and Pattern Recognition, 2016 We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image ...
Zhe Cao, T. Simon, S. Wei, Yaser Sheikh
semanticscholar +1 more source
Mathematics, 2021 The extended dynamic mode decomposition algorithm is a tool for accurately approximating the point spectrum of the Koopman operator. This algorithm provides an approximate linear expansion of non-linear discrete-time systems, which can be useful for ...
Camilo Garcia-Tenorio +3 more
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Automation, 2023 This paper provides the theoretical foundation for the approximation of the regions of attraction in hyperbolic and polynomial systems based on the eigenfunctions deduced from the data-driven approximation of the Koopman operator.
Camilo Garcia-Tenorio +3 more
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Analysis of the ROA of an anaerobic digestion process via data-driven Koopman operator
Nonlinear Engineering, 2021 Nonlinear biochemical systems such as the anaerobic digestion process experience the problem of the multi-stability phenomena, and thus, the dynamic spectrum of the system has several undesired equilibrium states.
Garcia-Tenorio Camilo +3 more
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