H Infinity and Mu Synthesis | Robust Control, Part 5

Ғылым және технология

Пікірлер: 38

  • @mohammadokour7969
    @mohammadokour79694 жыл бұрын

    Mr.Brian Douglas, I really can't find a way to thank you for your huge help and support in control field, I have finished my Bachelor's degree in mechanical engineering and I am almost done with my Master degree in mechatronics system and you were the best reference for all control topics, nobody can explain these topics in such nice and clear way direct to the point and also giving examples using MATLAB to proof the concept of the topic. I would appreciate it if you could do something related to adaptive control and autotune because these topics are not clearly defined among youtube. I wish you to have more success in your future life.

  • @40NoNameFound-100-years-ago
    @40NoNameFound-100-years-ago4 жыл бұрын

    I have been waiting for this demonstration for H infinity control for long time

  • @camilotorres9835
    @camilotorres98353 жыл бұрын

    You are the real mvp in the control field, it is just so amazingly easy to understand once you explain it

  • @mansoorzahoorqadri9553
    @mansoorzahoorqadri95534 жыл бұрын

    Beautifully explained.

  • @MrEdnz
    @MrEdnz4 жыл бұрын

    I had a course on the control of MIMO systems. This stuff is amazing

  • @deepak_nigwal

    @deepak_nigwal

    3 жыл бұрын

    are there any resources for design of MIMO systems for full car?

  • @gretarmark
    @gretarmark3 жыл бұрын

    This is so good video about Robust Control, now I understand the whole concept I have been struggling with. Thanks alot!

  • @GeneralKiller1337
    @GeneralKiller13373 жыл бұрын

    Wow, nice explanation! Thank you so much.

  • @avinashmalik9441
    @avinashmalik94413 жыл бұрын

    First off good work -- we usually teach this in 4th year EE. FUTURE IDEA: Describe sliding mode control design, its stability analysis and non-chattering implementation via stateflow. Next, go all the way and describe stochastic hybrid control with wiener processes (unbounded stochasticity) and its convergence/stability analysis. A lot of biological processes (including human organ) control is via stochastic hybrid systems -- experience in medical device design/control for cardiac arrhythmias and GI motility disorders. Just one caveat, stateflow/simulink will choke when simulating hybrid stochastic Wiener processes via Euler-Maruyama.

  • @engammar1794
    @engammar1794 Жыл бұрын

    made it clear as sun shine. Thanks

  • @mohamednihalnadvisaleem2237
    @mohamednihalnadvisaleem22372 жыл бұрын

    Great Video. Can anybody explain how the parameters are chosen for Handling Target and Comfort Targets?

  • @kwinvdv
    @kwinvdv4 жыл бұрын

    It might be worth mentioning that H-infinity does have the downside that the order of the generated controller can be quite high (I believe it is equal to the order of the plant plus the orders of the weighting functions).

  • @BrianBDouglas

    @BrianBDouglas

    4 жыл бұрын

    Good point! I had a section in there about order reduction for the resulting high-order controller but cut it for time. Thanks for the comment!

  • @rezah336

    @rezah336

    4 жыл бұрын

    why is high order bad?

  • @SamFekri

    @SamFekri

    4 жыл бұрын

    @@BrianBDouglas Thanks Brian. It just happen to surf here. You are great! :) Just a quick comment: In addition to reduction of higher-order robust controllers, it is also possible to use the so-called fixed-order or structured H-inf optimization methods (i.e. Hinfstruct, HIFOO, etc) where designer can specify in advance what type of controller(s) you wish to design (say PID, Lead-lag etc). I have used all of these methods for numerous industrial apps. Well, it is very difficult to say they always work! This pretty much depends on the plant dynamics, in my opinion. But, what I can confirm here is that the more complex plant (i.e. with more unstable poles and/or lightly-damped modes), the higher order for controller will be required (for the satisfactory robust-stability and performance), and the worse results one shall expect from such reduced-order/structured Hinf optimization, similar to what one can see after reducing the order of high-order controllers. :)

  • @SamFekri

    @SamFekri

    4 жыл бұрын

    @@rezah336 A high-order controller means: more expensive (both software and hardware), more bulky (bigger size - more heavy - not suitable for application etc), very time-consuming in re-tuning and fine-tuning for industrial apps, low reliability in operation, ... Are these enough? ;-) Good luck

  • @imp00ssible
    @imp00ssible3 жыл бұрын

    Can anyone suggest a good book for Robust Control (Mainly Related to H-infinity) and Also Great Explanation

  • @kamelbenyattou5044
    @kamelbenyattou50443 жыл бұрын

    how we can fo r example compute and do some simulation of H_infinity Control of Two-Dimensional Systems with matlab

  • @Choice7890
    @Choice78902 жыл бұрын

    Can someone tell what’s the benefit of the generalized plant representation? Couldn’t find any intuitive explanations

  • @hakemass
    @hakemass10 ай бұрын

    thank you very much. I have a question regarding Wact, you have said that putting a high pass filter on the actuator is going to penalize high frequency controller commands more than low frequency, isn't it the opposite ? or i didnt understand it

  • @luisruvalcaba9159
    @luisruvalcaba91594 жыл бұрын

    My dream come true

  • @sayandey02
    @sayandey02 Жыл бұрын

    how to understand mathematically? Do you have good source for H-infinity control theory? please recommend thanks in advance

  • @chiro6865
    @chiro68652 жыл бұрын

    Can anyone help me. Which value record the value gain K of H-inf ?

  • @MrMD-o9v
    @MrMD-o9v4 жыл бұрын

    Hello, a very nice demonstration of the H_infinity control design. How does the mu synthesis perform compared to a robust controller where you model out the uncertainty (Delta) and use H_infity and the small gain theorem to provide robustness.

  • @SamFekri

    @SamFekri

    4 жыл бұрын

    H_infinity optimization does not consider the uncertainty (Delta) in a structured format but deals [with Delta] like a full MIMO matrix! This turns out that the results of the controller robustness (both stability and performance) could be very conservative! Of course, this conservatism depends on the application. But, mu (as seen from the name: Structured Singular value) does this in clearly specified format, including real, complex or a combination of real-complex (mixed) uncertainties. :)

  • @paolzpk
    @paolzpk4 жыл бұрын

    Can you suggest some references where to study about H infinity and mu synthesis?

  • @kwinvdv

    @kwinvdv

    4 жыл бұрын

    Multivariable feedback control: analysis and design from Skogestad and Postlethwaite contains sections on both.

  • @paolzpk

    @paolzpk

    4 жыл бұрын

    @@kwinvdv that looks really nice, thanks!

  • @haligali4360
    @haligali43602 жыл бұрын

    Hi! It's a really great video! But it's so fast, particularly for nonnative speakers. Of course, if you're familiar with this topic you can swallow it and digest it, otherwise choking...

  • @deepak_nigwal
    @deepak_nigwal4 жыл бұрын

    any direct paper for H-Infinity controller on full car model?

  • @lyessaidi501

    @lyessaidi501

    3 жыл бұрын

    you can check a Ph.D thesis done this year about merging Hinf and MPC under the name of charles Philippe directed by lounis Adouane page 46,49

  • @lyessaidi501

    @lyessaidi501

    3 жыл бұрын

    @@deepak_nigwal never mind

  • @sulielroli
    @sulielroli Жыл бұрын

    Gracias!!

  • @sangluuhuu457
    @sangluuhuu4572 жыл бұрын

    the video image is too poor, you need to fix it more

  • @nyquist_control

    @nyquist_control

    2 жыл бұрын

    it's you, not the video. turn on 1080p.

  • @leolorenzeen6055
    @leolorenzeen60552 жыл бұрын

    「目標を指定してお金が必要」、

  • @omkarkudalkar4621
    @omkarkudalkar46214 жыл бұрын

    Can I get your channel, good explained

  • @XxXproobenXxX
    @XxXproobenXxX3 жыл бұрын

    Toes

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