Media Summary: In this lecture, we discuss the overarching goal of In this lecture, we give an example of how a change of coordinates can In this lecture, we connect the eigensystem realization algorithm (ERA) to

Data Driven Control Balancing Transformation - Detailed Analysis & Overview

In this lecture, we discuss the overarching goal of In this lecture, we give an example of how a change of coordinates can In this lecture, we connect the eigensystem realization algorithm (ERA) to Overview lecture on linear system identification and model reduction. This lecture discusses how we obtain reduced-order models ... In this lecture, we derive error bounds for the In this lecture, we explore the observer Kalman filter identification (OKID) and eigensystem realization algorithm (ERA) in Matlab ...

This video corrects a typo in the previous lecture. This video was produced at the University of ...

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Data-Driven Control: Balancing Transformation
Data-Driven Control: Balanced Truncation Example
Data-Driven Control: The Goal of Balanced Model Reduction
Data-Driven Control: Balancing Example
Data-Driven Control: Balanced Truncation and BPOD Example
Data-Driven Control: Balanced Truncation
Data-Driven Control: Balanced Models with ERA
Data-Driven Control: Linear System Identification
Data-Driven Control with MATLAB and Simulink
Data-Driven Control: Change of Variables in Control Systems
Data-Driven Control: Error Bounds for Balanced Truncation
Data-Driven Control: ERA/OKID Example in Matlab
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