FPGA implementation of online finite-set model based predictive control for power electronics [PDF]
Recently there has been an increase in the use of model based predictive control (MBPC) for power-electronic converters. MBPC allows fast and accurate control of multiple controlled variables for hybrid systems such as a power electronic converter and ...
Jacxsens, Michiel +3 more
core +2 more sources
Collision Avoidance Using Finite Control Set Model Predictive Control for Unmanned Surface Vehicle
In recent years, with the development of unmanned platforms, unmanned surface vehicles (USV) are attracting more and more attention. Compared to ordinary ships, USV have a smaller volume and faster speed, so their collision avoidance system (CAS) should ...
Xiaojie Sun +4 more
doaj +1 more source
Hybrid optimal control for HIV multi-drug therapies: A finite set control transcription approach
In this study, the treatment of Human Immunodeficiency Virus (HIV) infection is investigated through an optimal structured treatment interruption (STI) schedule of two classes of antiretroviral drugs, mainly, reverse transcriptase inhibitors and protease
Divya Thakur, Belinda Marchand
doaj +1 more source
Numerical analysis for the pure Neumann control problem using the gradient discretisation method
The article discusses the gradient discretisation method (GDM) for distributed optimal control problems governed by diffusion equation with pure Neumann boundary condition. Using the GDM framework enables to develop an analysis that directly applies to a
Droniou, Jerome +2 more
core +2 more sources
Robust Control of Uncertain Markov Decision Processes with Temporal Logic Specifications [PDF]
We present a method for designing robust controllers for dynamical systems with linear temporal logic specifications. We abstract the original system by a finite Markov Decision Process (MDP) that has transition probabilities in a specified uncertainty ...
Murray, Richard M. +2 more
core +3 more sources
Machine Learning Based Adaptive Prediction Horizon in Finite Control Set Model Predictive Control
In this paper, an adaptive prediction horizon approach based on machine learning is presented for the finite control set model predictive control (FCS-MPC) of power converters. Usually, in FCS-MPC, the prediction horizon is kept constant.
Muhammad Saleh Murtaza Gardezi +1 more
doaj +1 more source
An Effective Finite Control Set-Model Predictive Control Method for Grid Integrated Solar PV
The grid integration of a photovoltaic solar system operating with maximum power point tracking is being presented in this paper. The system uses a dc-dc converter for power tracking while employing finite control set model predictive control (FCS-MPC ...
Iresha Poonahela +4 more
doaj +1 more source
Ciliate Gene Unscrambling with Fewer Templates [PDF]
One of the theoretical models proposed for the mechanism of gene unscrambling in some species of ciliates is the template-guided recombination (TGR) system by Prescott, Ehrenfeucht and Rozenberg which has been generalized by Daley and McQuillan from a ...
Kari, Lila, Rahman, Afroza
core +3 more sources
An impedance control using a Finite Control Set Model Predictive Controller
The use of Electro-Mechanical Actuator to impact an environment is often criticized because of its presumably higher wear. This is due to the naturally high stiffness of the mechanical transmission, that leads to a hard-to-hard impact with the environment.
Gendrin, Martin +2 more
openaire +2 more sources
Switching Control for Parameter Identifiability of Uncertain Systems
This paper considers the problem of identifying the parameters of an uncertain linear system by means of feedback control. The problem is approached by considering time-varying controllers.
Battistelli, G., Tesi, P.
core +1 more source

