Results 51 to 60 of about 132,832 (312)

The robust stability of iterative learning control [PDF]

open access: yes, 2010
This thesis examines the notion of the long term robust stability of iterative learning control (ILC) systems engaged in trajectory tracking, using a robust stability theorem based on a biased version of the nonlinear gap metric. This is achieved through
Bradley, Richard Stephen
core  

Improved approximation algorithms for degree-bounded network design problems with node connectivity requirements [PDF]

open access: yes, 2014
We consider degree bounded network design problems with element and vertex connectivity requirements. In the degree bounded Survivable Network Design (SNDP) problem, the input is an undirected graph G = (V, E) with weights w(e) on the edges and degree ...
Ali Vakilian   +3 more
core   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

Iterative learning control: algorithm development and experimental benchmarking [PDF]

open access: yes, 2009
This thesis concerns the general area of experimental benchmarking of Iterative Learning Control (ILC) algorithms using two experimental facilities. ILC is an approach which is suitable for applications where the same task is executed repeatedly over the
Cai, Zhonglun
core  

An innovative subdivision-ICP registration method for tool-path correction applied to deformed aircraft parts machining [PDF]

open access: yes, 2010
A new and fast registration algorithm has been proposed to update the tool-path of a deburring robot, intended to machining composite workpieces under gravity and clamping deformations.
Richard Béarée   +5 more
core   +1 more source

A gradient-based iterative algorithm for solving coupled Lyapunov equations of continuous-time Markovian jump systems

open access: yesAutomatika, 2019
In this paper, a new gradient-based iterative algorithm is proposed to solve the coupled Lyapunov matrix equations associated with continuous-time Markovian jump linear systems.
Wang Kun, Liu Yaqiu, Zhao Huaqi
doaj   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

open access: yesFEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty   +13 more
wiley   +1 more source

Multivariable norm optimal iterative learning control with auxiliary optimization [PDF]

open access: yes, 2013
The paper describes a substantial extension of Norm Optimal Iterative Learning Control (NOILC) that permits tracking of a class of finite dimensional reference signals whilst simultaneously converging to the solution of a constrained quadratic ...
Owens, D.H., Freeman, C.T., Chu, B.
core  

Precoded Sphere Packing Aided Bit-Interleaved Differential Spa ce-Time Coded Modulation Using Iterative Decoding [PDF]

open access: yes, 2008
—In this treatise, we investigate a precoded and sphere packing (SP)-aided bit-interleaved differential space-time coded modulation scheme using iterative decoding. The amalgamated design and interworking of the SP, differential encoding, and iteratively
Alamri, Osamah   +3 more
core   +1 more source

A Selection of Starting Points for Iterative Position Estimation Algorithms Using Feedforward Neural Networks

open access: yesSensors
This article proposes the use of a feedforward neural network (FNN) to select the starting point for the first iteration in well-known iterative location estimation algorithms, with the research objective of finding the minimum size of a neural network ...
Jaroslaw Sadowski, Jacek Stefanski
doaj   +1 more source

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