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Differentiating between Hierarchical and Flat Communities
ACM SIGMETRICS Performance Evaluation ReviewAs data proliferate in the form of pairwise interactions or networks-from social media exchanges and physical infrastructures, like railways and the internet, to biological systems-extracting meaningful insights remains a significant challenge. Community detection is a pivotal task in this regard, viewing networks as groups of nodes.
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Differentially Flat Robots with Compliance in Actuated Joints
Most robots and mechanisms are fully actuated, i.e., the number of actuators is equal to the number of degrees of freedom (DOFs). Thus, the robot’s configuration is fully determined by imposing the position of the actuators. However, a class of robots exists, the under-actuated robots, in which the number of actuators is smaller than the number of ...Tonan M., Doria A., Bottin M., Rosati G.
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EKF-SLAM for Quadcopter Using Differential Flatness-Based LQR Control
Electronics (Switzerland), 2023Daegyun Choi +2 more
exaly
FLAT OPTICS FOR IMAGE DIFFERENTIATION
2021VALENTINE JASON G, ZHOU YOU, ZHENG HANYU
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Differential Flatness Theory in Power Electronics
2015The chapter analyzes methods of nonlinear filtering and control which are based on differential flatness theory and examines their use in power electronics, aiming at connecting various types of power generation units to the grid (e.g., converters and inverters).
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Differentially flat nonlinear control systems
1997Differentially flat systems are underdetermined systems of (nonlinear) ordinary differential equations (ODEs) whose solution curves are in smooth one-one correspondence with arbitrary curves in a space whose dimension equals the number of equations by which the system is underdetermined. For control systems this is the same as the number of inputs. The
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