diff --git a/201 Metadata/My Library.bib b/201 Metadata/My Library.bib index d9af3ab09..5ebba4228 100644 --- a/201 Metadata/My Library.bib +++ b/201 Metadata/My Library.bib @@ -7521,6 +7521,17 @@ for defect classification of TFT–LCD panels.pdf} urldate = {2024-01-28} } +@video{matlabInfinityMuSynthesis2020, + entrysubtype = {video}, + title = {H {{Infinity}} and {{Mu Synthesis}} | {{Robust Control}}, {{Part}} 5}, + editor = {{MATLAB}}, + editortype = {director}, + date = {2020-05-19}, + url = {https://www.youtube.com/watch?v=kRt7H0k8A4k}, + urldate = {2024-10-30}, + abstract = {This video walks through a controller design for an active suspension system. Actually, we design two controllers. For the first, we use H infinity synthesis to design a controller for a nominal plant model that will guarantee performance but not necessarily be robust to variation in the system. Then we build an uncertain model like we did in the last video and design a robust controller using mu synthesis. Watch the first videos in this series: Robust Control, Part 1: What Is Robust Control? - ~~~•~What~Is~Robust~Control?~|~Robust~Cont...~~ Robust Control, Part 2: Understanding Disk Margin - ~~~•~Understanding~Disk~Margin~|~Robust~Co...~~ Robust Control, Part 3: Disk Margins for MIMO Systems - ~~~•~Disk~Margins~for~MIMO~Systems~|~Robus...~~ Robust Control, Part 4: Working with Parameter Uncertainty - ~~~•~Working~with~Parameter~Uncertainty~|~...~~ Check out these other references: Robust Control of an Active Suspension: https://bit.ly/3bt8VCE -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.} +} + @article{mattosLatentAutoregressiveGaussian2016, title = {Latent {{Autoregressive Gaussian Processes Models}} for {{Robust System Identification}}}, author = {Mattos, César Lincoln C. and Damianou, Andreas and Barreto, Guilherme A. and Lawrence, Neil D.},