Model predictive control (MPC) based methods are gaining more and more attention in power converters and electrical drives. Nevertheless, high computational burden of MPC is an obstacle for its application, especially when the prediction horizon increases extends. At the same time, increasing the prediction horizon leads to a superior response. In this paper, a long horizon MPC is proposed to c...

Buildings need advanced control for the efficient and climate-neutral use of their energy systems. Model predictive (MPC) reinforcement learning (RL) arise as two powerful techniques that have been extensively investigated in literature application to building management. These methods show complementary qualities terms constraint satisfaction, computational demand, adaptability, intelligibilit...

the present sought to draw a comparison between model predictive control performance and two other controllers named simple pi and selective pi in controlling large-scale natural gas transport networks. a nonlinear dynamic model of representative gas pipeline was derived from pipeline governing rules and simulated in simulink® environment of matlab®. control schemes were designed to provide a s...

Model predictive control (MPC) is a very popular controller design method in the process industry. A key advantage of MPC is that it can accommodate constraints on the inputs and outputs. Usually MPC uses linear or nonlinear discrete-time models. In this paper we give an overview of some results in connection with model predictive control (MPC) approaches for some tractable classes of discrete-...

This paper deals with design of model based predictive controllers for single axis magnetic levitation system and verifi es the performance. The objective is to track the position of a ferromagnetic ball levitated with the aid of an electromagnetic force. Inherent nonlinearity and open loop unstable dynamics add challenges to this control problem. Three different controllers are designed: model...

This paper describes the Parametrized Derivative-Free Model Predictive Control (pdf-mpc) package, a Matlab coder-based set of subroutines that enables a model predictive control problem to be defined and solved. the pdf-mpc is made available for free download and use through the website of the author.

The aim of this paper is to study the application of model predictive controller for improving stability of rotor and rotor vibration. Rotor vibrations in electrical machines are dampen out by model predictive control algorithm. The controlled system is the one dimensional Jeffcott-rotor. Model predictive control algorithm was designed, and the simulation results were obtained by Mat lab softwa...

in this paper standing balance control of a biped with toe-joint is presented. the model consists of an inverted pendulum as the upper body and the foot contains toe-joint. the biped is actuated by two torques at ankle-joint and toe-joint to regulate the upper body in upright position. to model the interaction between foot and the ground, configuration constraints are defined and utilized. to s...