Results 91 to 100 of about 3,738,279 (288)
ADAPTIVE-ROBUST CONTROL DESIGN METHODS [PDF]
This paper presents a design procedure for control systems implemented on dynamic variable and nonlinear processes. The proposed adaptive-robust control strategy is taking into account both adaptive control advantages and robust control benefits and is ...
Dumitru POPESCU +3 more
doaj
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
The traditional control method of doubly fed induction generators (DFIGs) has poor robustness due to the excessive use of machine parameters, and does not fully consider the control conditions of nonideal power grids, resulting in serious fluctuations in
Tao Jiang +3 more
doaj +1 more source
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
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
How Robust is Robust Control in the Time Domain? [PDF]
By applying robust control the decision maker wants to make good decisions when his model is only a good approximation of the true one. Such decisions are said to be robust to model misspecification.
Marco P. Tucci
core
Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon +4 more
wiley +1 more source
Multi-objective design of robust flight control systems [PDF]
A multi–objective evolutionary algorithm is used in the framework of H1 control theory to find the controller gains that minimize a weighted combination of the infinite–norm of the sensitivity function (for disturbance attenuation requirements) and ...
Avanzini, G. +3 more
core
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Observer based output feedback repetitive learning control of robotic manipulators
This work tackles the tracking control problem of robotic manipulators where the robot dynamics contains uncertain parameters and joint velocity measurements are not available.
Kadriye Merve Dogan +3 more
doaj +1 more source

