Recent content by SPFF

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    I Linearizing vectors using Taylor Series

    Thanks for your reply, I guess what I'm trying to say is, given some vector r which represents say the position of an object in space, if I wanted to linearize its function with respect to its direction only (i.e. perturb the position with respect to its direction not magnitude), then I could...
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    I Linearizing vectors using Taylor Series

    I am linearizing a vector equation using the first order taylor series expansion. I would like to linearize the equation with respect to both the magnitude of the vector and the direction of the vector. Does that mean I will have to treat it as a Taylor expansion about two variables...
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    A Normalization and Scaling with Matrices

    That was me (doublee89).. I am not sure why my account name has been changed. Strange...
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    A Normalization and Scaling with Matrices

    That is exactly the kind of normalization I was hoping for. Also, I know that in the scalar case normalizing the differential equation can reduce the number of parameters (which would also be a plus) but more than anything else I care about producing dimensionless and scaled parameters. The...
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    Lyapunov Deriv. Homework: Adaptive Backstepping Graduate Level

    In case my question wasnt clear enough, I don't understand how the author produced equation 2.33.
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    Lyapunov Deriv. Homework: Adaptive Backstepping Graduate Level

    Homework Statement I can't seem to figure out how this next step of this derivation for equation 2.33 was produced. This is a graduate level textbook on Adaptive Backstepping.
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