
Hybrid Toolbox
 Referenced in 28 articles
[sw15053]
 simulating model predictive controllers for hybrid systems subject to constraints, and for generating linear...

qpDUNES
 Referenced in 15 articles
[sw13238]
 banded convex QPs that arise in optimal control, dynamic optimization, and estimation. The acronym DUNES ... hardware platforms. It comes with its own linear algebra module and efficient data storage formats ... invariant (LTI) and for linear timevarying (LTV) modelpredictive control problems in both environments...

muAOMPC
 Referenced in 1 article
[sw41779]
 tool for embedded realtime linear model predictive control. μAOMPC is a code generation ... software package for linear model predictive control. μAOMPC generates highly portable C code tailored...

OnRAMP
 Referenced in 1 article
[sw21467]
 Suites use linear and nonlinear Model Predictive Control to reduce development and calibration time...

PcGets
 Referenced in 47 articles
[sw01937]
 proposed an automatic predictive modeling tool called relevant transformation of the inputs network approach (RETINA ... search within the range of possible models, control of collinearity, outofsample forecasting ability ... RETINA with PcGets, a wellknown automatic modeling method proposed by D. Hendry. We point ... sample over the usual linear regression model and over some models like PcGets. Thus, both...

MPC tools
 Referenced in 1 article
[sw19817]
 Model Predictive Control (MPC) Tools Package. MPC tools is a control ... estimation tool for linear and nonlinear dynamic models. Model predictive control hierarchy consists of three...

GET
 Referenced in 21 articles
[sw35164]
 alpha. Global means that the probability is controlled simultaneously for all the d elements ... functional analysis of variance, functional general linear model, nsample test of correspondence of distribution ... functional boxplot) and for global confidence and prediction bands (e.g. confidence band in polynomial regression...

PnPMPC
 Referenced in 6 articles
[sw12119]
 constrained Large Scale Systems (LSS) with linear timeinvariant dynamics, for the implementation ... Play (PnP) decentralized and distributed Model Predictive Control (MPC) and PnP state estimation. The PnPMPC...

GEMMA
 Referenced in 5 articles
[sw23999]
 marker associations with multiple phenotypes simultaneously while controlling for population stratification, and for estimating genetic ... phenotypes. It fits a Bayesian sparse linear mixed model (BSLMM) using Markov chain Monte Carlo ... genotypes, predicting phenotypes, and identifying associated markers by jointly modeling all markers while controlling...

APMonitor
 Referenced in 5 articles
[sw19694]
 APMonitor Modeling Language is optimization software for mixedinteger and differential algebraic equations ... coupled with largescale solvers for linear, quadratic, nonlinear, and mixed integer programming ... time optimization, dynamic simulation, and nonlinear predictive control. It is freely available through MATLAB, Python...

QPSchur
 Referenced in 16 articles
[sw06918]
 While the Schur complement approach to linear algebra is very flexible with respect to allowing ... specializations in each area; largescale model predictive control (MPC) and reducedspace successive quadratic...

HPIPM
 Referenced in 3 articles
[sw26962]
 medium scale problems arising in model predictive control and embedded optimization in general ... relies on the highperformance linear algebra package BLASFEO...

FalcOpt
 Referenced in 2 articles
[sw31486]
 Linearization of Constraints for OPTimization. It allows the user to solve nonlinear Model Predictive Control...

pycombina
 Referenced in 3 articles
[sw38177]
 MixedInteger Optimal Control. Application of Model Predictive Control (MPC) for nonlinear switched systems often ... leads via discretization to MixedInteger NonLinear Programs (MINLPs), which in a realtime...

acebayes
 Referenced in 12 articles
[sw20243]
 design coordinate (the value taken by one controllable variable for one run of the experiment ... functions and for common generalised linear and nonlinear models. The package provides a stepchange ... goals of parameter estimation, model selection and prediction...

FitNets
 Referenced in 8 articles
[sw42694]
 deeper networks tend to be more nonlinear. The recently proposed knowledge distillation approach ... obtaining small and fasttoexecute models, and it has shown that a student network ... student hidden layer to the prediction of the teacher hidden layer. This allows ... faster, a tradeoff that is controlled by the chosen student capacity. For example...

QPALM
 Referenced in 6 articles
[sw35397]
 opensource C code, with tailored linear algebra routines for the factorization in a self ... domains such as portfolio optimization and model predictive control. As such, QPALM strikes a unique...

KnockoffGAN
 Referenced in 5 articles
[sw42243]
 task (such as to avoid overfitting in prediction) as it can be for understanding ... enable discovery from large, highdimensional, nonlinear observational datasets by creating a subset ... need a principled methodology capable of controlling the False Discovery Rate. In this work ... framework by developing a flexible knockoff generation model. We adapt the Generative Adversarial Networks framework...

MPC Toolbox
 Referenced in 2 articles
[sw14032]
 arise in elds such as in Model Predictive Control (MPC), which may have realtime ... which we utilize GPUs for a Linear Programming Interior Point Method to solve a test...

GMWB3DSLC
 Referenced in 8 articles
[sw18132]
 Turbulent transport is a key issue for controlled thermonuclear fusion based on magnetic confinement ... long been acknowledged, that the prediction of turbulent transport requires to solve Vlasovtype gyrokinetic ... kinetic description is more accurate than fluid models (MHD, gyrofluid), because among other things ... gyrowaterbag model. This model is suitable for studying linear and nonlinear lowfrequency...