• Hybrid Toolbox

  • Referenced in 28 articles [sw15053]
  • hybrid dynamical systems, for designing and simulating model predictive controllers for hybrid systems subject...
  • Neural Network Toolbox

  • Referenced in 178 articles [sw07378]
  • competitive layers. With the toolbox you can design, train, visualize, and simulate neural networks ... recognition, clustering, time-series prediction, and dynamic system modeling and control. To speed up training...
  • ACADO

  • Referenced in 72 articles [sw04764]
  • algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust ... user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization...
  • MOBY-DIC

  • Referenced in 4 articles [sw21938]
  • MATLAB Toolbox for the integrated design of Model Predictive Control (MPC) state-feedback control laws ... implementing them. Explicit MPC laws can be designed using optimal and sub-optimal formulations, directly...
  • PcGets

  • Referenced in 44 articles [sw01937]
  • predictive modeling tool called relevant transformation of the inputs network approach (RETINA). It is designed ... search within the range of possible models, control of collinearity, out-of-sample forecasting ability...
  • SICC

  • Referenced in 7 articles [sw26948]
  • canals. This paper proposes a model predictive control of open irrigation canals with constraints ... equations are widely used in hydraulics to model an open canal ... difficult to design optimal control algorithms. In this work, a prediction model of an open...
  • MATMPC

  • Referenced in 2 articles [sw41152]
  • MATLAB for nonlinear model predictive control (NMPC). It is designed to facilitate modelling, controller design...
  • EHMAC

  • Referenced in 2 articles [sw00234]
  • predictive control strategy, the extended horizon model algorithmic control (EHMAC) is presented. EHMAC is designed ... long-range predictive control (EHPC) and internal model control (MAC). EHMAC is designed ... closed-loop system incorporating a NMP model. The second stage selects a filter as suggests ... providing control robustness even for extremely large deviations. The selection of a prediction horizon...
  • ETAP Digital Twin

  • Referenced in 1 article [sw36199]
  • time platform used to model, design, visualize, analyze, predict, control and provide insight on management ... that offers automated rule-based design, model-driven predictive analysis, co-simulation platform, operator training ... real-time analytics, asset performance monitoring, intelligent controls and more...
  • SVR-AMA

  • Referenced in 1 article [sw29521]
  • reduction for model predictive control applications. This paper focuses on the design of an asynchronous ... dual solver suitable for model predictive control (MPC) applications. The proposed solver relies...
  • dMPC

  • Referenced in 2 articles [sw35809]
  • with a distributed and hierarchical-distributed model predictive control strategies, which are compared with continuous ... source optimization framework, which automatically manages optimization control, integration of renewable generation and load forecasts ... offer a methodology for the control design of systems of different dimensions...
  • OnRAMP

  • Referenced in 1 article [sw21467]
  • OnRAMPTM Design and Calibration Suites use linear and non-linear Model Predictive Control to reduce...
  • acebayes

  • Referenced in 12 articles [sw20243]
  • controllable variable for one run of the experiment). Functions are provided for both bespoke design ... common generalised linear and nonlinear models. The package provides a step-change in the complexity ... problems that can be addressed, enabling designs to be found for much larger numbers ... where designs are found for the goals of parameter estimation, model selection and prediction...
  • Control Toolbox

  • Referenced in 2 articles [sw36513]
  • control, estimation, trajectory optimization and Model Predictive Control. The CT is applicable to a broad ... systems but features interfaces to modeling tools specifically designed for robotic applications. This paper outlines...
  • PAROC

  • Referenced in 6 articles [sw21878]
  • model-based tools in design, operational optimisation and advanced control studies. A step-wise procedure ... fidelity dynamic model, and its validation and model analysis, (ii) a model approximation step, including ... model reduction and global sensitivity analysis, (iii) a receding horizon modelling step for model-predictive...
  • PolyMPC

  • Referenced in 2 articles [sw39510]
  • control problems and explains how various model predictive control and parameter estimation algorithms ... workflow of a path following controller design for a highly nonlinear mechatronic system is demonstrated...
  • BlueM.MPC

  • Referenced in 2 articles [sw06944]
  • predictive control (MPC) in sewer networks. MPC is an online strategy for real time control ... Control decisions are calculated during operation with a process model and optimization algorithms. This feature ... line control strategies, in which the control decisions are calculated during the design phase. These...
  • Tokamak

  • Referenced in 2 articles [sw06565]
  • method of use. The library is designed to predict, support, and interpret experiments as well ... energy production on the basis of controlled thermonuclear fusion. The library software consists ... tokamak plasma, its structural elements, diagnostics and control system. This is a specific implementation ... computations in the field of the mathematical modeling of plasma. The Virtual Tokamak is unique...
  • ROTOR

  • Referenced in 1 article [sw19892]
  • rotorcraft. Such an analytical model is desirable for both pretest predictions and posttest correlations ... such as automatic control system design. The program incorporates an analytical model which is applicable...