Results 61 to 70 of about 21,628,516 (305)
Identification of Block-oriented Systems Using the Invariance Property
Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time.
Martin Enqvist, Enqvist, Martin,
core +1 more source
Evaluation of power system inertia based on recursive least squares with variable forgetting factors
With the integration of large-scale renewable energy and the increased electrification of power systems, issues related to the weakening of power system stability due to insufficient inertia levels have become frequent in recent years.
Maoyi ZHOU +5 more
doaj +1 more source
Riding on an electric skateboard needs rider's skill because it is difficult to keep standing. We should study how to move the skateboard to aid the postural control of human standing.
Motomichi SONOBE +2 more
doaj +1 more source
On-line Bayesian system identification [PDF]
We consider an on-line system identification setting, in which new data become available at given time steps. In order to meet real-time estimation requirements, we propose a tailored Bayesian system identification procedure, in which the hyper-parameters are still updated through Marginal Likelihood maximization, but after only one iteration of a ...
ROMERES, DIEGO +3 more
openaire +3 more sources
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Maximum Likelihood identification of Wiener-Hammerstein system with process noise
The Wiener-Hammerstein model is a block-oriented model consisting of two linear blocks and a static nonlinearity in the middle. We address the identification problem of this model, when a disturbance affects the input of the non-linearity, i.e.
Giordano, Giuseppe +3 more
core +1 more source
Recurrent Neural Network-Based Model Predictive Control for Continuous Pharmaceutical Manufacturing
The pharmaceutical industry has witnessed exponential growth in transforming operations towards continuous manufacturing to increase profitability, reduce waste and extend product ranges.
Wee Chin Wong +3 more
doaj +1 more source
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
Comparative performance of intelligent algorithms for system identification and control [PDF]
This paper presents an investigation into the comparative performance of intelligent system identification and control algorithms within the framework of an active vibration control (AVC) system.
Madkour, Ammr +11 more
core +1 more source
System Identification of Vehicle’s Lateral Dynamics for Open-Source Autonomous Driving Simulators
Open-source autonomous driving simulators (ADSs) are widely used in the design of autonomous driving algorithms. An accurate estimation of the lateral dynamics of vehicles is essential for accurately controlling an autonomous vehicle, where vehicle ...
Yong-Ha Lee +4 more
doaj +1 more source

