
ANFIS
 Referenced in 232 articles
[sw08730]
 model nonlinear functions, identify nonlinear components online in a control system, and predict ... neural networks and earlier work on fuzzy modeling are listed and discussed. Other extensions...

qpDUNES
 Referenced in 10 articles
[sw13238]
 problems in both environments. For nonlinear model predictive control and moving horizon estimation, the powerful...

Neural Network Toolbox
 Referenced in 166 articles
[sw07378]
 apps for modeling complex nonlinear systems that are not easily modeled with a closedform ... recognition, clustering, timeseries prediction, and dynamic system modeling and control. To speed up training...

MuShROOM
 Referenced in 6 articles
[sw12000]
 numerical methods for mixedinteger nonlinear modelpredictive control. The author develops and investigates efficient ... numerical methods for nonlinear mixedinteger optimal control and modelpredictive control problems. His thesis ... under reasonable assumptions is given. The obtained nonlinear programs are treated as mathematical programs with...

qpHPSC
 Referenced in 6 articles
[sw12001]
 numerical methods for mixedinteger nonlinear modelpredictive control. The author develops and investigates efficient ... numerical methods for nonlinear mixedinteger optimal control and modelpredictive control problems. His thesis ... under reasonable assumptions is given. The obtained nonlinear programs are treated as mathematical programs with...

YANE
 Referenced in 5 articles
[sw18510]
 library, which implements a Nonlinear Model Predictive Controller in a modularised way. The user...

PcGets
 Referenced in 42 articles
[sw01937]
 proposed an automatic predictive modeling tool called relevant transformation of the inputs network approach (RETINA ... nonlinear transformations of the predictors of interest), selective search within the range of possible models ... control of collinearity, outofsample forecasting ability, and computational simplicity. Here they compare...

NMPC
 Referenced in 2 articles
[sw06445]
 implement lowdimensional parameterized Nonlinear Model Predictive Control (NMPC) schemes for systems showing fast dynamics...

sIPOPT
 Referenced in 2 articles
[sw06885]
 provides approximate NLP solutions for nonlinear model predictive control and state estimation. These are enabled...

MPC Toolbox
 Referenced in 1 article
[sw21916]
 Nonlinear Model Predictive Controller Toolbox, Model Predictive Control (MPC) is a control strategy that calculates...

Solace
 Referenced in 1 article
[sw21641]
 open source package for nolinear model predictive control and state estimation for (bio)chemical processes ... wide spread use of Nonlinear Model Predictive Control (NMPC) in large chemical companies, the small...

pdfmpc
 Referenced in 1 article
[sw19816]
 Coder package for RealTime Nonlinear Model Predictive Control. This paper describes the Parametrized Derivative...

Model Predictive Control Toolbox
 Referenced in 10 articles
[sw21937]
 model predictive controllers (MPCs). The toolbox lets you specify plant and disturbance models, horizons, constraints ... evaluate controller performance. You can adjust the behavior of the controller by varying its weights ... constraints at run time. To control a nonlinear plant, you can implement adaptive and gain ... rates, you can generate an explicit model predictive controller from a regular controller or implement...

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

HyFIS
 Referenced in 11 articles
[sw24184]
 proposed neurofuzzy hybrid model, extensive simulation studies of nonlinear complex dynamic systems are carried ... incremental adaptive learning for the prediction and control of nonlinear dynamical systems. Two benchmark case ... HyFIS system is a superior neurofuzzy modelling technique...

MPDopt
 Referenced in 1 article
[sw23094]
 adjointbased model predictive control of smooth and switched nonlinear dynamic systems. Over the years ... adjointbased model predictive control (MPC) has proven to be a viable and effective tool ... online optimization of control sequences for dynamic systems governed by differentiable nonlinear equations. This paper...

GMWB3DSLC
 Referenced in 6 articles
[sw18132]
 approach in nonlinear gyrokinetic turbulence. Turbulent transport is a key issue for controlled thermonuclear fusion ... long been acknowledged, that the prediction of turbulent transport requires to solve Vlasovtype gyrokinetic ... fluid models (MHD, gyrofluid), because among other things it takes into account nonlinear resonant...

APMonitor
 Referenced in 2 articles
[sw19694]
 APMonitor Modeling Language is optimization software for mixedinteger and differential algebraic equations ... with largescale solvers for linear, quadratic, nonlinear, and mixed integer programming ... realtime optimization, dynamic simulation, and nonlinear predictive control. It is freely available through MATLAB...

acebayes
 Referenced in 5 articles
[sw20243]
 design coordinate (the value taken by one controllable variable for one run of the experiment ... common generalised linear and nonlinear models. The package provides a stepchange in the complexity ... goals of parameter estimation, model selection and prediction...

Pomodoro
 Referenced in 1 article
[sw21640]
 introduces the framework for multiobjective problems, model predictive control and state estimation. Pomodoro is implemented ... solvers are utilized to solve the resulting nonlinear programs. The design of the software...