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‫Welcome back.

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‫And so, as you have seen, it's not really apparent how your errors behave when you choose your key

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‫values like one and then K two in your differential equation.

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‫However, you can very well predict the behavior of your error using the power constants, lambda one

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‫and lambda two.

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‫If you want your error to go to zero, then choose lambda one to be less than zero and lambda two to

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‫be less than zero.

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‫Remember it's an and it must be and and you cannot choose.

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‫Both of them must be less than zero if you want oscillation.

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‫Well then make them complex, make your lambdas complex numbers and then if you want your error to go

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‫to infinity will then either make your lambda one greater than zero or make your lambda to greater than

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‫zero or make them both greater than zero.

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‫And then your error will go to infinity.

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‫Of course.

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‫Why would you want that?

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‫The entire point of control engineering is to get errors to zero.

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‫Countless books have been written just to achieve that one thing, to get your errors to zero.

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‫But anyway, you choose your lambdas based on how you want your system to behave.

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‫And then from those Londis, you compute your key values in your differential equation.

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‫Essentially, you design and build your differential equation from your lambda values.

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‫So you construct your differential equation by choosing your lambdas.

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‫And since your lambdas can be a real and complex numbers, we can create a map for them.

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‫A two dimensional map.

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‫One dimension is for real numbers and the other dimension is for imaginary numbers.

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‫And on that map, I can place my lambda values.

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‫I can place one lambda value here and another lambda value here.

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‫So let's say that I chose my lambda one to be minus three.

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‫It's a real number and I chose my lambda two to be minus four and in both instances the imaginary part

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‫is zero.

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‫And so I have marked my lambda one with a cross and lambda two with a cross.

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‫And these lambdas actually have a name.

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‫They are called.

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‫Polls, these lambdas, they are called polls, so polls are nothing else but the power Constance lambdas

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‫and in control engineering, there is a method called poll placement to stabilize the system.

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‫And poll placement simply means choosing the line does.

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‫That's it.

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‫When you place the polls on this map, you choose your lambdas and this map itself.

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‫This two dimensional map that we have here, this map is called and it's plain.

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‫All right.

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‫So it's called and explain.

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‫And it's also called Le Plus Domain.

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‫OK, so you can also call this two dimensional map Le plus domain.

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‫So Le plus Domain is a two dimensional map on which you can place polls or your Londis or your power

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‫constants here.

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‫So let's have another Le plus domain here.

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‫This is the real number dimension and this is the imaginary number dimension.

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‫All right.

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‫And let's say that we want our system to oscillate and damp out at the same time.

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‫So that means that we need complex poles, complex Londis and those complex lambdas need to have a negative

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‫real number.

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‫So, for example, we need LUNDELL one to be minus four plus eight times three, and then we want Lunda

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‫two to be minus four, minus eight times three.

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‫And remember, when you're dealing with complex poles, then in both cases you're both Poles have the

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‫same real number, which is minus four.

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‫And so in the real number line, let's say that minus four is here and then on the imaginary number

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‫line, you will have plus three here and then minus three here.

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‫And so one of your poles will be here.

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‫That would be your loved one.

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‫It's this one here.

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‫And the second lambda will be here.

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‫That would be your lambda, too.

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‫And so if you place your poles here, then your system response will be something like this.

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‫It will oscillate and it will dump itself out.

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‫And now let's have one more Laplanche domain here or one more splain.

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‫So this is the real number axis and this is the imaginary no axis.

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‫And now let's say that you have a fifth order, homogeneous LTI differential equation.

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‫That means that you have to have five lambdas.

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‫In other words, you need to have five poles.

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‫And let's assume that they are on the Laplanche domain like this one pole is here, the other pole is

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‫here.

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‫Then you have two poles that are conjugates of each other.

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‫They're complex poles.

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‫They have the same real number and then the opposite imaginary numbers.

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‫And then one of the poles is here.

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‫So you see that there is one pole on the right side of the imaginary axis.

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‫That means that you have one lambda that is greater than zero and that means that your entire system

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‫becomes unstable.

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‫The error will go to infinity because one lambda this one here is greater than zero.

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‫One pole is greater than zero in the real number axis.

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‫So if you want stability, then you have to keep all poles on the left side of the imaginary axis.

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‫All poles need to be here.

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‫It means that all your polls would then be less than zero, and in the next video, we will derive formulas

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‫to connect the lambdas or the polls with the key values.

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‫So you choose your polls to achieve the desired error of behavior, and then you will have formulas

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‫to be able to compute the key values which are here in the differential equation.

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‫So that's what we're going to do in the next video.

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‫Thank you very much.

