Results 151 to 160 of about 47,392 (266)

Co-Design of BW-Enhanced Dual-Path Driver and Segmented Microring Modulator for Energy Efficient Si-Photonic Transmitters. [PDF]

Micromachines (Basel)
Ma Y, Cui B, Li G, Liu J, Wu N, Qi N, Liu L.   +6 more
europepmc   +1 more source

Enhancing Reference Tracking in Induction Motor Drives: A Hybrid Model Predictive Control and Artificial Neural Network Approach

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Induction motors (IMs) are widely used in industry for their robustness and cost‐effectiveness, yet their nonlinear and multivariable dynamics pose significant challenges for high‐performance speed control. Model Predictive Control (MPC) is a well‐established solution but suffers from limitations related to model accuracy and parameter ...
Asier del Rio, Oscar Barambones, Eneko Artetxe, Jokin Uralde, Isidro Calvo   +4 more
wiley   +1 more source

Author Correction: Foundation model of neural activity predicts response to new stimulus types. [PDF]

Nature
Wang EY, Fahey PG, Ding Z, Papadopoulos S, Ponder K, Weis MA, Chang A, Muhammad T, Patel S, Ding Z, Tran D, Fu J, Schneider-Mizell CM, MICrONS Consortium, Reid RC, Collman F, da Costa NM, Franke K, Ecker AS, Reimer J, Pitkow X, Sinz FH, Tolias AS.   +22 more
europepmc   +1 more source

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni   +1 more
wiley   +1 more source

A Physics-Informed Hybrid Neural Network for High-Precision Temperature Prediction in Semiconductor Process Equipment. [PDF]

Micromachines (Basel)
Peng J, Hu L, Su R, Shen Y, Wang J, Fu X, Ruan X.   +6 more
europepmc   +1 more source

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

Early identification of patients with chronic kidney disease of uncertain etiology (CKDu) in Anuradhapura district of Sri Lanka using data science algorithms. [PDF]

BMC Med Inform Decis Mak
Liyanage LTH, Chandrasekara NV, Sunil-Chandra NP, Jayaweera JAAS.   +3 more
europepmc   +1 more source

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

Journal of Field Robotics, EarlyView.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang, Hao Zhou, Dalin Zhou, Zhaojie Ju   +3 more
wiley   +1 more source

How do we think and what is the neural circuit mechanism for it? Possible roles of working memory and inner speech in thinking. [PDF]

Front Hum Neurosci
Mori K, Sakano H.
europepmc   +1 more source

Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach

Journal of Field Robotics, EarlyView.
ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp, Matteo Corno, Giulio Panzani, Sergio Matteo Savaresi   +3 more
wiley   +1 more source