• 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 time-varying (LTV) model-predictive control problems in both environments...
  • muAO-MPC

  • Referenced in 1 article [sw41779]
  • tool for embedded real-time linear model predictive control. μAO-MPC is a code generation ... software package for linear model predictive control. μAO-MPC generates highly portable C code tailored...
  • OnRAMP

  • Referenced in 1 article [sw21467]
  • Suites use linear and non-linear 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, out-of-sample forecasting ability ... RETINA with PcGets, a well-known 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, n-sample 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 time-invariant 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 mixed-integer and differential algebraic equations ... coupled with large-scale 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; large-scale model predictive control (MPC) and reduced-space successive quadratic...
  • HPIPM

  • Referenced in 3 articles [sw26962]
  • medium scale problems arising in model predictive control and embedded optimization in general ... relies on the high-performance 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]
  • Mixed-Integer Optimal Control. Application of Model Predictive Control (MPC) for nonlinear switched systems often ... leads via discretization to Mixed-Integer Non-Linear Programs (MINLPs), which in a real-time...
  • 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 step-change ... goals of parameter estimation, model selection and prediction...
  • FitNets

  • Referenced in 8 articles [sw42694]
  • deeper networks tend to be more non-linear. The recently proposed knowledge distillation approach ... obtaining small and fast-to-execute models, and it has shown that a student network ... student hidden layer to the prediction of the teacher hidden layer. This allows ... faster, a trade-off that is controlled by the chosen student capacity. For example...
  • QPALM

  • Referenced in 6 articles [sw35397]
  • open-source 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, high-dimensional, non-linear 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 real-time ... which we utilize GPUs for a Linear Programming Interior Point Method to solve a test...
  • GMWB3D-SLC

  • 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 Vlasov-type gyrokinetic ... kinetic description is more accurate than fluid models (MHD, gyro-fluid), because among other things ... gyro-water-bag model. This model is suitable for studying linear and nonlinear low-frequency...