This paper presents a novel neuro-adaptive augmented distributed nonlinear dynamic inversion (N-DNDI) controller for consensus of nonlinear multi-agent systems in the presence of unknown external disturbance. N-DNDI is a blending of neural network and distributed nonlinear dynamic inversion (DNDI), a new consensus control technique that inherits the features of Nonlinear Dynamic Inversion (NDI) and is capable of handling the unknown external disturbance. The implementation of NDI based consensus control along with neural networks is unique in the context of multi-agent consensus. The mathematical details provided in this paper show the solid theoretical base, and simulation results prove the effectiveness of the proposed scheme.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821713 | PMC |
| http://dx.doi.org/10.1038/s41598-022-05663-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Clustered warming tolerances and the nonlinear risks of biodiversity loss on a warming planet.
Philos Trans R Soc Lond B Biol Sci
January 2025
Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK.
Anthropogenic climate change is projected to become a major driver of biodiversity loss, destabilizing the ecosystems on which human society depends. As the planet rapidly warms, the disruption of ecological interactions among populations, species and their environment, will likely drive positive feedback loops, accelerating the pace and magnitude of biodiversity losses. We propose that, even without invoking such amplifying feedback, biodiversity loss should increase nonlinearly with warming because of the non-uniform distribution of biodiversity.
View Article and Find Full Text PDFAssociation between renal mean perfusion pressure and prognosis in patients with sepsis-associated acute kidney injury: insights from the MIMIC IV database.
Ren Fail
December 2025
Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Objective: To investigate the association between renal mean perfusion pressure (MPP) and prognosis in sepsis-associated acute kidney injury (SA-AKI).
Methods: Data were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Group-based trajectory modeling (GBTM) was applied to identify dynamic MPP patterns, while restricted cubic spline (RCS) curves were utilized to confirm the non-linear relationship between MPP and mortality.
Control optimization of air traffic emissions in a two-variable dynamic model.
Sci Rep
January 2025
Department of Physics and Mathematics, University of Alcalá, Alcalá de Henares, Spain.
Since 1999, every report released by the International Panel on Climate Change has advocated a decrease in the greenhouse gas emissions associated with aviation in order to preserve the current climate. This study used a two variable differential equations model with a non-linear control term to address several aspects of the emissions stabilization issue. By optimizing the control term parameter, several management alternatives can be obtained based on the properties of the phase plane of the model solutions, as identified by a stability analysis.
View Article and Find Full Text PDFPopulation pharmacokinetics of bedaquiline: a systematic review.
Eur J Clin Pharmacol
January 2025
Department of Pharmacy, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, 310000, Zhejiang, China.
Background And Objectives: Bedaquiline (BDQ) plays a critical role in the treatment of multidrug-resistant tuberculosis (MDR-TB). However, the large pharmacokinetic (PK) variability of BDQ presents a significant challenge in its clinical use. This study aimed to summarize the population PK characteristics of BDQ and to identify significant covariates affecting the PK variation of BDQ.
View Article and Find Full Text PDFSpatiotemporal evolution and driving forces of landscape structure and habitat quality in river corridors with ceased flow: A case study of the Yongding River corridor in Beijing, China.
J Environ Manage
January 2025
School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China. Electronic address:
Flow cessation leads to severe degradation of river corridor landscape structure, habitat quality, and ecological functions. This study focuses on the representative river with ceased flow in northern China, the Yongding River plain section. Utilizing long-term, high-resolution satellite remote sensing imagery and the InVEST model, we analyzed the spatiotemporal evolution of landscape structure and habitat quality (HQ) before and after river corridor flow cessation over the past 50 years.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!