System Identification Methods

Research in this cluster revolves around methods for identifying and controlling dynamical systems, specifically focusing on neural networks and model reduction techniques. The goal is to enhance model accuracy for practical applications.

system identification
dynamical systems
neural networks
model reduction
accuracy
practical applications
control theory
automation

30,051 papers

Parent topic: Advanced Control Systems Engineering

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Papers Over Time

1960197019801990200020102020

Top Papers

Nonlinear System Identification

2001 · 1,040 citations

Model Predictive Control

2007 · 866 citations