Results 81 to 90 of about 6,761,764 (353)
Algorithms, 2020 The paper addresses issues associated with implementing GPC controllers in systems with multiple input signals. Depending on the method of identification, the resulting models may be of a high order and when applied to a control/regulation law, may ...
Sebastian Plamowski, Richard W Kephart
doaj +1 more source
Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies [PDF]
IEEE Transactions on Control Systems Technology, 2016 This paper presents a distributed model predictive control (DMPC) algorithm for heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired set point.
Yang Zheng +4 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Phototrophs evolved light‐harvesting systems adapted for efficient photon capture in habitats enriched in far‐red radiation. A subset of eukaryotic pigment‐binding proteins can absorb far‐red photons via low‐energy chlorophyll states known as red forms.
Antonello Amelii +8 more
wiley +1 more source
Improved Distributed Model Predictive Control with Control Planning Set
Journal of Control Science and Engineering, 2016 We focus on distributed model predictive control algorithm. Each distributed model predictive controller communicates with the others in order to compute the control sequence.
Wei Chen
doaj +1 more source
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit [PDF]
Proceedings of the Royal Society A, 2017 Data-driven discovery of dynamics via machine learning is pushing the frontiers of modelling and control efforts, providing a tremendous opportunity to extend the reach of model predictive control (MPC). However, many leading methods in machine learning,
E. Kaiser, J. Kutz, S. Brunton
semanticscholar +1 more source
On Stochastic Model Predictive Control with Bounded Control Inputs
, 2009 This paper is concerned with the problem of Model Predictive Control and Rolling Horizon Control of discrete-time systems subject to possibly unbounded random noise inputs, while satisfying hard bounds on the control inputs.
Chatterjee, Debasish +2 more
core +3 more sources
The role of fibroblast growth factors in cell and cancer metabolism
FEBS Letters, EarlyView.Fibroblast growth factor (FGF) signaling regulates crucial signaling cascades that promote cell proliferation, survival, and metabolism. Therefore, FGFs and their receptors are often dysregulated in human diseases, including cancer, to sustain proliferation and rewire metabolism.
Jessica Price, Chiara Francavilla
wiley +1 more source
Robust Model Predictive Control via Scenario Optimization
, 2012 This paper discusses a novel probabilistic approach for the design of robust model predictive control (MPC) laws for discrete-time linear systems affected by parametric uncertainty and additive disturbances.
Calafiore, Giuseppe C., Fagiano, Lorenzo
core +1 more source
A finite control set model predictive control method for matrix converter with zero common-mode voltage [PDF]
, 2018 In this paper a finite control set model predictive control method is presented that eliminates the common-mode voltage at the output of a matrix converter.
Dan, Hanbing +6 more
core +1 more source
An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots
FEBS Letters, EarlyView.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