Results 111 to 120 of about 1,700,235 (339)

Inverse Model Predictive Control for Power Electronic Converters

IEEE Access
In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. The proposed IMPC technique is primarily based on the inverse of the conventional finite set model predictive control.
Ali Sharida, Sertac Bayhan, Haitham Abu-Rub, ugur Fesli   +3 more
doaj   +1 more source

Model Predictive Control of an Underactuated Spacecraft with Two Reaction Wheels [PDF]

, 2016
Christopher Petersen, Frederick A. Leve, Ilya Kolmanovsky   +2 more
openalex   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

PICALM::MLLT10 translocated leukemia

FEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen, Antonia C. Nakatsugawa, Natalie Barton, Henry Haines, Gary S. Stein, Janet L. Stein, Daniel S. Wechsler, Jessica L. Heath   +7 more
wiley   +1 more source

An Analytical Cost Function Design and Implementation for Predictive Control of Induction Machine Drives

IEEE Access
In finite control set-model predictive torque control (FCS-MPTC) of induction machine (IM), the optimal design of weighting factors for the cost function has always been a research difficulty in community of scholars.
Wei Wei, Liming Yan, Shun Tian, Xisheng Xu, Keke Sun   +4 more
doaj   +1 more source

Robust Model Predictive Control of Heat Exchangers

Chemical Engineering Transactions, 2012
The paper attempts to show that using the robust model-based predictive control (RMPC) strategy for control of thermal processes can lead to energy savings in comparison with classical control approaches.
M. Bakošová, J. Oravec
doaj   +1 more source

Grid-Aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation [PDF]

, 2020
Rahul Gupta, Fabrizio Sossan, Mario Paolone   +2 more
openalex   +1 more source

β‐TrCP overexpression enhances cisplatin sensitivity by depleting BRCA1

Molecular Oncology, EarlyView.
Low levels of β‐TrCP (Panel A) allow the accumulation of BRCA1 and CtIP, which facilitate the repair of cisplatin‐induced DNA damage via homologous recombination (HR) and promote tumor cell survival. In contrast, high β‐TrCP expression (Panel B) leads to BRCA1 and CtIP degradation, impairing HR repair, resulting in persistent DNA damage and apoptosis ...
Rocío Jiménez‐Guerrero, Alejandro Belmonte‐Fernández, Mónica González‐Moreno, Laura Rodríguez‐Cordero, Begoña Pérez‐Valderrama, Joaquín Herrero‐Ruíz, Francisco Romero, Carmen Sáez, Miguel Á. Japón   +8 more
wiley   +1 more source

A configuration of model predictive PID control

Nihon Kikai Gakkai ronbunshu, 2016
Although PID control is still widely used in the industry, it isn't answered a high performance demand. On the other hand, the model predictive control (MPC) is paid attention as effective control but it takes much cost to introduce MPC instead of ...
Ko NAKAMURA, Tohru KAWABE
doaj   +1 more source

Towards parallelizable sampling-based Nonlinear Model Predictive Control

, 2017
This paper proposes a new sampling-based nonlinear model predictive control (MPC) algorithm, with a bound on complexity quadratic in the prediction horizon N and linear in the number of samples.
Bobiti, R. V., Lazar, M.
core   +1 more source