Results 91 to 100 of about 151,567 (269)
Set Membership Identification of Piecewise Affine Models
Abstract This paper addresses the problem of identification of piecewise affine (PWA) models, which involves the joint estimation of both the parameters of the affine submodels and the partition of the PWA map from data. According to ideas from set-membership identification, the key approach is to characterize the model by its maximum allowed ...
BEMPORAD A +3 more
openaire +3 more sources
An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots
This study identifies a gene encoding a transmembrane protein, MIC, which contributes to the reduction of shoot Fe content observed in plants under elevated CO2. MIC is a putative Fe transporter localized to the Golgi and endosomal compartments. Its post‐translational regulation in roots may represent a potential target for improving plant nutrition ...
Timothy Mozzanino +7 more
wiley +1 more source
Low-Complexity Reduced-Rank Beamforming Algorithms [PDF]
A reduced-rank framework with set-membership filtering (SMF) techniques is presented for adaptive beamforming problems encountered in radar systems.
de Lamare, R. C., Wang, L.
core
Learning-based predictive control for linear systems: a unitary approach
A comprehensive approach addressing identification and control for learningbased Model Predictive Control (MPC) for linear systems is presented. The design technique yields a data-driven MPC law, based on a dataset collected from the working plant.
Fagiano, Lorenzo +3 more
core +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Ellipsoidal set-membership estimation of systems with logarithmic quantized control input
For networked control systems with logarithmic quantization, the state estimation is important. Different from the traditional state estimation methods where the uncertainties are assumed to have known probability distributions, the set-membership ...
Mingming Ji, Zhixiong Zhang
doaj +1 more source
Hematopoietic (stem) cells—The elixir of life?
The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo +4 more
wiley +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Comparison between two state estimation techniqueds for linear systems [PDF]
20th World Congress of the International Federation of Automatic Control, Jul 2017, Toulouse, FranceThis paper presents a comparison in terms of accuracy and complexity between two approaches used for state estimation of linear systems: a classic Kalman
Alamo, Teodoro +4 more
core
Unsupervised learning with contrastive latent variable models
In unsupervised learning, dimensionality reduction is an important tool for data exploration and visualization. Because these aims are typically open-ended, it can be useful to frame the problem as looking for patterns that are enriched in one dataset ...
Ghosh, Soumya +2 more
core +1 more source

