Scinovex
Subscribe
Physical Sciences → Engineering → Control and Systems Engineering

Control Systems and Identification

This cluster of papers covers advances in system identification techniques, including parameter estimation for nonlinear models, data-driven control, model-based control, feedback controllers, state estimation for multivariable systems, and the development of recursive algorithms. The papers also discuss model selection approaches and optimal experiment design for system identification.

58.8K works worldwide867.4K citations
System IdentificationParameter EstimationNonlinear ModelsData-Driven ControlModel-Based ControlFeedback ControllersState EstimationMultivariable SystemsRecursive AlgorithmsModel Selection

Journals publishing in this area

Articles on Scinovex in this research area

5 articles, most cited first

  1. Statistical properties of the periodogram for two vector-valued stability series with missed observations
    International Journal of Statistics and Applied Mathematics · 2017 · 2 citations
  2. Quasi range dependent weighted classes of linear slope estimators
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
  3. Robust PC with wild bootstrap estimation of linear model in the presence of outliers, multicollinearity and heteroscedasticity error variance
    International Journal of Statistics and Applied Mathematics · 2022 · 0 citations
  4. Analysis of generalized linear models for functional data
    International Journal of Statistics and Applied Mathematics · 2021 · 0 citations
  5. A study of measuring the distance of a stable matrix to the unstable matrices
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary