Data-Driven Control: The Goal of Balanced Model Reduction

Published 2018-06-10

Download video MP4 360p

Recommendations

14:57

Data-Driven Control: Change of Variables in Control Systems
27:41

Data-Driven Control: Balanced Proper Orthogonal Decomposition
24:31

Data-Driven Control: Overview
12:21

Data-Driven Control: Observer Kalman Filter Identification
30:41

Optimal Basis Elements: The POD Expansion
18:27

Extremum Seeking Control
44:36

Lecture: The Singular Value Decomposition (SVD)
27:49

Koopman Spectral Analysis (Overview)
20:28

MFEM Workshop 2022 | Reduced Order Modeling for FE Simulations with MFEM & libROM
16:08

Everything You Need to Know About Control Theory
12:08

Sparse Identification of Nonlinear Dynamics for Model Predictive Control
07:54

FEDEM Model Reduction
41:33

POD introduction 1

Similar videos

06:27

Data-Driven Control: Balanced Models with ERA
07:37

Data-Driven Control: Balancing Example
10:22

Data-Driven Control: Balanced Truncation Example
12:35

Data-Driven Control: Eigensystem Realization Algorithm
14:33

Data-Driven Control: Balanced Truncation
20:16

Data-Driven Control: Linear System Identification
17:05

Data-Driven Control: Eigensystem Realization Algorithm Procedure
11:11

Data-Driven Control: Balanced Truncation and BPOD Example
05:22

Data-Driven Control: BPOD and Output Projection
15:37

L30A: Balanced Realizations
00:22

S2 - Thermal Pixel Control - Balanced Truncation
1:15:01

9/30/2019 ME212 W06a Balanced Model Reduction
35:21

Lessons From A Year Building With LLMs
More results