System Identification Techniques (Q166950): Difference between revisions

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description / endescription / en
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 devel
Analyzing complex systems through data-driven methods to identify patterns and make predictions.

Revision as of 13:23, 30 August 2024

Analyzing complex systems through data-driven methods to identify patterns and make predictions.
  • System Identification
  • Parameter Estimation
  • Nonlinear Models
  • Data-Driven Control
  • Model-Based Control
  • Feedback Controllers
  • State Estimation
  • Multivariable Systems
  • Recursive Algorithms
  • Model Selection
Language Label Description Also known as
English
System Identification Techniques
Analyzing complex systems through data-driven methods to identify patterns and make predictions.
  • System Identification
  • Parameter Estimation
  • Nonlinear Models
  • Data-Driven Control
  • Model-Based Control
  • Feedback Controllers
  • State Estimation
  • Multivariable Systems
  • Recursive Algorithms
  • Model Selection

Statements

 
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