Results 71 to 80 of about 16,686,076 (335)

Nonlinear system identification using modified variational autoencoders

Intelligent Systems with Applications
This research proposes a methodology for identifying nonlinear systems using input/output data and deep learning generative models. Our framework integrates Variational Autoencoders (VAE) with Nonlinear Autoregressive with exogenous input (NARX) in a ...
Jose L. Paniagua, Jesús A. López
doaj   +1 more source

Active vibration control using nonlinear auto-regressive neural network to identify secondary channel

Journal of Low Frequency Noise, Vibration and Active Control, 2023
The power unit on board the ship generates periodic low-frequency vibration that affects the normal operation of the equipment on board, and the adaptive feedforward control algorithm can effectively suppress such harmful vibration noise.
Song Chun-sheng, Xiong Xue-chun, Yang Qi, Jia Bo, Chen Bo-yuan, Liang Ya-ru, Fang Hai-ning   +6 more
doaj   +1 more source

A nonlinear blind identification approach to modeling of diabetic patients [PDF]

IFAC Proceedings Volumes, 2014
In the last decades, mathematical models have become of great importance in the context of diabetes treatment planning. Several modeling approaches based on first principles or input–output techniques have been proposed. However, a relevant open problem common to all these approaches is that they are not able to recover or to systematically account for
NOVARA, Carlo, Mohammad Pour N., Vincent T., Grassi G.   +3 more
openaire   +4 more sources

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

Arthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale, Nuria E. J. Jansen, Christina Y. Le, Leo Lu, Hui Xie, Marienke van Middelkoop, Jackie L. Whittaker   +6 more
wiley   +1 more source

Clinician and Patient Factors Associated With Long‐Term Glucocorticoid Use in People With Rheumatoid Arthritis Receiving Advanced Therapies

Arthritis Care &Research, EarlyView.
Objective Despite guideline recommendations, long‐term glucocorticoid (GC) use is common in rheumatoid arthritis (RA). We conducted a clinician survey nested within a large registry to identify patient and clinician factors associated with GC use. Methods Clinicians contributing patients to the CorEvitas Rheumatoid Arthritis Registry were surveyed ...
Michael D. George, George Reed, Matthew D. Kearney, Peter F. Cronholm, Kevin Kane, Jeffrey R. Curtis, Dimitrios A. Pappas, Joel M. Kremer   +7 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
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, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

NARX approach to black-box modeling of circuit elements [PDF]

, 1998
This paper deals with the identification of NARX (Nonlinear AutoRegression with eXtra input) models for the numerical simulation of circuits containing nonlinear dynamic elements.
Stievano, Igor Simone, F.G. Canavero, I.A. Maio, Maio, Ivano Adolfo, Canavero, Flavio, I.S. Stievano   +5 more
core   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Measurement and Identification of Flame Describing Function (FDF) Based on Parallel Subsystem Model

Aerospace
Because of the need for low pollutant emissions, industrial gas turbines typically use partially premixed gases for combustion. However, the nonlinear dynamic characteristics of partially premixed flames have not been studied sufficiently.
Zhaohui Wang, Yichen Wang, Min Zhu
doaj   +1 more source