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Data-Driven Control: Change of Variables in Control Systems
Data-Driven Control: Overview
Data-Driven Control: Linear System Identification
Data-Driven Control: The Goal of Balanced Model Reduction
Data-driven MPC: From linear to nonlinear systems with guarantees
Data-Driven Control: Balanced Models with ERA
Data-Driven Iterative Optimal Control for Switched Dynamical Systems
MIMO Feedback Linearizing control
Data-Driven Control: BPOD and Output Projection
Low Gain Feedback for Linear Systems: Input Saturation and Input Delay
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Last Updated: September 21, 2026
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Summary
Associated with a CDC2017 publication "Paulo Tabuada, Wen-Loong Ma, Jessy Grizzle, and Aaron D. Ames, In this lecture, we describe the eigensystem realization algorithm (ERA) in detail, including step-by-step algorithmic instructions. Prof. Dr.-Ing. Frank Allgöwer, University of Stuttgart, Germany. Zongli Lin Professor of Electrical and Computer Engineer University of Virginia Abstract: Low gain
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