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
11
Journal of the Royal Statistical Society Series B (Statistical Methodology)
ISSN 1369-7412132 articles in this topic
307h-index
1.61Impact
4.2KArticles
739.3KCitations

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