Add to ORKGThis tutorial consists of a brief introduction to the modern control approach called model predictive control (MPC) and its numerical implementation using MATLAB. We discuss the basic concepts and numerical implementation of the two major classes of MPC: Linear MPC (LMPC) and Nonlinear MPC (NMPC). This includes the various aspects of MPC such as formulating the optimization problem, constraints handling, feasibility, stability, and optimality.Comment: 10 pages, 4 figures, tutorial pape
Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process mo...
Abstract─While linear model predictive control is popular since the 70s of the past century, only si...
The nonlinear model predictive control (NMPC) is an on-line application based on nonlinear convoluti...
Model Predictive Control (MPC) is used to solve challenging multivariable-constrained control proble...
Model Predictive Control System Design and Implementation Using MATLAB<SUP>®</SUP> propo...
Nowadays, optimality is a major concern in modern controlled systems, and since optimality generally...
In this paper we introduce MATMPC, an open source software built in MATLAB for nonlinear model predi...
In this paper we introduce MATMPC, an open source software built in MATLAB for nonlinear model predi...
Model Predictive Control (MPC) is an application of control that is highly popular due to its sensib...
Model Predictive Control (MPC) is used for more and more applications in an industrial context. The ...
Model Predictive Control (MPC) is an optimal control method. At each instant of time, a per-formance...
Model predictive control (MPC) refers to a family control method which applies to discrete and conti...
This project thesis provides a brief overview of Model Predictive Control (MPC).A brief history of i...
Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic pr...
105 p.Model Predictive Control (MPC) refers to a type of computer control technology that utilizes a...
Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process mo...
Abstract─While linear model predictive control is popular since the 70s of the past century, only si...
The nonlinear model predictive control (NMPC) is an on-line application based on nonlinear convoluti...
Model Predictive Control (MPC) is used to solve challenging multivariable-constrained control proble...
Model Predictive Control System Design and Implementation Using MATLAB<SUP>®</SUP> propo...
Nowadays, optimality is a major concern in modern controlled systems, and since optimality generally...
In this paper we introduce MATMPC, an open source software built in MATLAB for nonlinear model predi...
In this paper we introduce MATMPC, an open source software built in MATLAB for nonlinear model predi...
Model Predictive Control (MPC) is an application of control that is highly popular due to its sensib...
Model Predictive Control (MPC) is used for more and more applications in an industrial context. The ...
Model Predictive Control (MPC) is an optimal control method. At each instant of time, a per-formance...
Model predictive control (MPC) refers to a family control method which applies to discrete and conti...
This project thesis provides a brief overview of Model Predictive Control (MPC).A brief history of i...
Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic pr...
105 p.Model Predictive Control (MPC) refers to a type of computer control technology that utilizes a...
Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process mo...
Abstract─While linear model predictive control is popular since the 70s of the past century, only si...
The nonlinear model predictive control (NMPC) is an on-line application based on nonlinear convoluti...