Results 31 to 40 of about 1,190,523 (292)

FPGA implementation of online finite-set model based predictive control for power electronics [PDF]

open access: yes, 2011
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

open access: yesApplied Sciences, 2018
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

open access: yesMathematical Biosciences and Engineering, 2012
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

open access: yes, 2017
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]

open access: yes, 2011
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

open access: yesIEEE Access, 2018
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

open access: yesIEEE Access, 2021
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]

open access: yes, 2010
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

open access: yes2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2015
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

open access: yes, 2015
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

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