Results 41 to 50 of about 1,385,705 (307)
Finite control set model predictive control (FCS-MPC) has gained increasing popularity as an emerging control strategy for electrical drive systems. However, it is still a challenging task to optimize weighting parameters, as multiple objectives are ...
Haotian Xie +7 more
semanticscholar +1 more source
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
The control of interleaved converters is commonly implemented through pulsewith modulation (PWM) techniques. A common element in these implementations is the use of phase shift between carriers to improve the system performance.
M. Aguirre +6 more
semanticscholar +1 more source
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
Finite-Control-Set Model Predictive Control With Improved Steady-State Performance [PDF]
Finite-control-set model predictive control (FCS-MPC) is a novel and promising control scheme for power converters and drives. Many practical and theoretical issues have been presented in the literature, showing good performance of this technique. The present work deals with one of the most relevant aspects of any controller, namely, the steady-state ...
Ricardo P. Aguilera +2 more
openaire +4 more sources
Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source
This paper develops a high-performance finite control set model predictive current control (FCS-MPCC) method for induction motors (IM) to ensure the system control performance over the low-switching-frequency (LSF) range, where the switching loss is low.
Tan Wang, Yihua Hu, Zuyu Wu, Kai Ni
doaj +1 more source
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Inverters are commonly controlled to generate AC current and Total Harmonic Distortion (THD) is the core index in judging the control effect. In this paper, a THD oriented Finite Control Set Model Predictive Control (FCS MPC) scheme is proposed for the ...
Po Li, Ruiyu Li, Haifeng Feng
doaj +1 more source

