• ANFIS

  • Referenced in 268 articles [sw08730]
  • model nonlinear functions, identify nonlinear components on-line in a control system, and predict ... neural networks and earlier work on fuzzy modeling are listed and discussed. Other extensions...
  • qpDUNES

  • Referenced in 13 articles [sw13238]
  • problems in both environments. For nonlinear model predictive control and moving horizon estimation, the powerful...
  • Neural Network Toolbox

  • Referenced in 175 articles [sw07378]
  • apps for modeling complex nonlinear systems that are not easily modeled with a closed-form ... recognition, clustering, time-series prediction, and dynamic system modeling and control. To speed up training...
  • MuShROOM

  • Referenced in 9 articles [sw12000]
  • numerical methods for mixed-integer nonlinear model-predictive control. The author develops and investigates efficient ... numerical methods for nonlinear mixed-integer optimal control and model-predictive control problems. His thesis ... under reasonable assumptions is given. The obtained nonlinear programs are treated as mathematical programs with...
  • qpHPSC

  • Referenced in 9 articles [sw12001]
  • numerical methods for mixed-integer nonlinear model-predictive control. The author develops and investigates efficient ... numerical methods for nonlinear mixed-integer optimal control and model-predictive control problems. His thesis ... under reasonable assumptions is given. The obtained nonlinear programs are treated as mathematical programs with...
  • YANE

  • Referenced in 7 articles [sw18510]
  • library, which implements a Nonlinear Model Predictive Controller in a modularised way. The user...
  • VIATOC

  • Referenced in 4 articles [sw31485]
  • toolkit for nonlinear model predictive control using gradient projection and code generation. Nonlinear ... model predictive control (NMPC) is a control strategy based on finding an optimal control trajectory ... recalculated at each control cycle and only the first control values are actually used ... nonlinear and there can be constraints on states and controls. A new toolkit called VIATOC...
  • GRAMPC

  • Referenced in 3 articles [sw30732]
  • software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach...
  • sIPOPT

  • Referenced in 3 articles [sw06885]
  • provides approximate NLP solutions for nonlinear model predictive control and state estimation. These are enabled...
  • PcGets

  • Referenced in 43 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, out-of-sample forecasting ability, and computational simplicity. Here they compare...
  • FalcOpt

  • Referenced in 2 articles [sw31486]
  • allows the user to solve nonlinear Model Predictive Control problems via a novel first-order...
  • NMPC

  • Referenced in 2 articles [sw06445]
  • implement low-dimensional parameterized Nonlinear Model Predictive Control (NMPC) schemes for systems showing fast dynamics...
  • Model Predictive Control Toolbox

  • Referenced in 13 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 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...
  • pdf-mpc

  • Referenced in 1 article [sw19816]
  • Coder package for Real-Time Nonlinear Model Predictive Control. This paper describes the Parametrized Derivative...
  • HyFIS

  • Referenced in 12 articles [sw24184]
  • proposed neuro-fuzzy 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 neuro-fuzzy modelling technique...
  • 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...
  • MPDopt

  • Referenced in 1 article [sw23094]
  • adjoint-based model predictive control of smooth and switched nonlinear dynamic systems. Over the years ... adjoint-based 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...
  • APMonitor

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