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May 25, 2020 at 20:36 comment added Chuck @dtn - typo whoops. On mobile :-P
May 25, 2020 at 19:25 comment added ayr An exhaustive answers. Thank you very much! P.S. Lunenburger - that's funny :-)))
May 25, 2020 at 19:21 comment added Chuck @dtn - I think one of the requirements for a Luenburger observer is a "linear, time invariant" (LTI) system. Entries in your A matrix aren't supposed to be time-varying. I've gotten away with it in the cases where the parameters change at a rate much different than the system dynamics (much faster or much slower).
May 25, 2020 at 10:51 comment added ayr Do you know the experience of using observers if the system parameters are variable?
May 22, 2020 at 19:35 comment added Chuck @dtn - I don't think the observer type matters much; the particular type you choose is up to you. If the system is unobservable, it can be made observable by changing or adding to your feedbacks.
May 22, 2020 at 18:06 comment added ayr And if the system is unobservable, can it be made observable?
May 22, 2020 at 15:39 comment added ayr Thank you, your answer was helpful. Firstly, I learned a little more about sensors and data filtering, and secondly, about the use of observers. On this point, I have a question: what type of observer is preferable?
May 22, 2020 at 13:08 vote accept ayr
May 22, 2020 at 13:06 history answered Chuck CC BY-SA 4.0