Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 10 min ago
Peer-reviewedCC BYSensors (Basel, Switzerland)

A Dual-Weighting and Adaptive Regularization Framework for Takagi–Sugeno Identification of Nonlinear Dynamic Systems from Closed-Loop Sensor Data

  • Gabriel Moreano1
  • Julio Tafur2
  • Valeria Andino3
  • Franklin Sánchez1
  1. 1Department of Electrical, Electronics and Telecommunications, Universidad de las Fuerzas Armadas ESPE, Av. General Rumiñahui S/N, Sangolquí 171103, Ecuador;
  2. 2Department of Engineering, Pontificia Universidad Católica del Perú (PUCP), Lima 15088, Peru;
  3. 3Faculty of Business Administration, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060155, Ecuador;
Read full textPDFCite

Related

  1. Hybrid Variational Quantum-Classical Framework with Adaptive Weighting and Efficiency Assessment
    Dilli Hang Rai
    arXivPreprintCC BY 4.0Full textQuantum physics & quantum informationarXiv
  2. An adaptive hybrid forecasting framework for community net load considering distributed generation and nonlinear demand dynamics
    Feng Qian, Yue Qin, Jinghua Wang
    Scientific ReportsPeer-reviewedCC BY 4.0Full textCrossref
  3. Adaptive Reliability-Aware Nonlinear State Estimation Framework for GNSS/INS Integrated Navigation with Bounded Position Correction
    Shizhong Yang, Zhen Liu, Liuyang Jiang +1
    MathematicsPeer-reviewedCC BY 4.0General mathematicsCrossref
  4. scGEN: Leveraging an Adaptive Weighting Strategy for Challenging Cell Clustering in Single‐Cell RNA‐seq
    Fang Huang, Dayu Hu, Yaqi Dai +14
    Advanced SciencePeer-reviewedCC BYFull textEurope PMC
  5. High-Resolution Parallel-Translation CT Reconstruction Based on a Patch-Based Adaptive-Regularization-Guided Diffusion Model
    Xuanheng Li, Mingze Lv, Jiahong Liu +2
    Optics ExpressPeer-reviewedLicence not statedMedical imaging & radiologyCrossref

Cite

BibTeXRIS
BibTeX
@article{moreano2026dualweighting,
  title = {{A Dual-Weighting and Adaptive Regularization Framework for Takagi–Sugeno Identification of Nonlinear Dynamic Systems from Closed-Loop Sensor Data}},
  author = {Gabriel Moreano and Julio Tafur and Valeria Andino and Franklin Sánchez},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13709174},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - A Dual-Weighting and Adaptive Regularization Framework for Takagi–Sugeno Identification of Nonlinear Dynamic Systems from Closed-Loop Sensor Data
AU  - Gabriel Moreano
AU  - Julio Tafur
AU  - Valeria Andino
AU  - Franklin Sánchez
PY  - 2026
DA  - 2026/10/01
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13709174
SN  - 1424-8220
ER  -