Improving high frequency image features of deep learning reconstructions via k‐space refinement with null‐space kernel
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29261
Abstract: Deep learning (DL) based reconstruction using unrolled neural networks has shown great potential in accelerating MRI. However, one of the major drawbacks is the loss of high‐frequency details and textures in the output. The purpose… read more here.
Keywords: high frequency; space kernel; space; null space ... See more keywords
Differential control of task and null space variability in response to changes in task difficulty when learning a bimanual steering task
Sign Up to like & getrecommendations! Published in 2019 at "Experimental Brain Research"
DOI: 10.1007/s00221-019-05486-2
Abstract: The presence of motor redundancy means that movement variability can be split into a ‘task-space’ component that affects task performance, and a ‘null space’ component which has no effect on task performance. While the control… read more here.
Keywords: task; task difficulty; variability; space variability ... See more keywords
Hierarchical tracking task control in redundant manipulators with compliance control in the null-space
Sign Up to like & getrecommendations! Published in 2018 at "Mechatronics"
DOI: 10.1016/j.mechatronics.2018.09.005
Abstract: Abstract In this paper, a new approach for dealing with multiple tracking tasks during physical interaction is proposed. By using this method, multiple tasks are accomplished based on the assigned priority in addition to a… read more here.
Keywords: space; tracking task; control; hierarchical tracking ... See more keywords
Parametric Identification Using Weighted Null-Space Fitting
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2018.2877673
Abstract: In identification of dynamical systems, the prediction error method with a quadratic cost function provides asymptotically efficient estimates under Gaussian noise, but in general it requires solving a nonconvex optimization problem, which may imply convergence… read more here.
Keywords: null space; space fitting; weighted null; model ... See more keywords
Null Space Projection Enhanced LMS Filters
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2020.2979034
Abstract: The least mean squares (LMS) filter is one of the most important adaptive filters used in digital signal processing applications. We present a performance improvement method for LMS filters based on null space projection. The… read more here.
Keywords: performance; null space; lms filters; space projection ... See more keywords
Null-Space-Based Time-Varying Formation Control of Uncertain Nonlinear Second-Order Multiagent Systems With Collision Avoidance
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3217585
Abstract: In this article, the time-varying formation control problem with collision avoidance is addressed for uncertain nonlinear second-order multiagent systems in a null-space-based behavioral control architecture. To guarantee the tracking and coordination performance simultaneously, a novel… read more here.
Keywords: time; null space; collision; varying formation ... See more keywords
Fault tolerant control using integral sliding modes with control allocation along the null-space
Sign Up to like & getrecommendations! Published in 2020 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331220904570
Abstract: In this paper, a new fault tolerant control scheme with control allocation is presented. The pseudo-inverse along the null-space control allocation is applied to the fault tolerant control system to handle the actuator constraints. The… read more here.
Keywords: control allocation; fault tolerant; control; tolerant control ... See more keywords
Data Fitting with Rational Functions: Scaled Null Space Method with Applications of Fitting Large Scale Shocks on Economic Variables and S-Parameters
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15020057
Abstract: Curve fitting discrete data (x, y) with a smooth function is a complex problem when faced with sharply oscillating data or when the data are very large in size. We propose a straightforward method, one… read more here.
Keywords: rational functions; function; null space; economic variables ... See more keywords
Null-Space Minimization of Center of Gravity Displacementof a Redundant Aerial Manipulator
Sign Up to like & getrecommendations! Published in 2023 at "Robotics"
DOI: 10.3390/robotics12020031
Abstract: Displacements of the base during trajectory tracking are a common issue in the control of aerial manipulators. These are caused by reaction torques transferred to the base due to the manipulator motion and, in particular,… read more here.
Keywords: null space; manipulator; center gravity;