Recent content by SPFF
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Undergrad 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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Undergrad 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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Graduate Normalization and Scaling with Matrices
That was me (doublee89).. I am not sure why my account name has been changed. Strange...- SPFF
- Post #6
- Forum: Linear and Abstract Algebra
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Graduate 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...- SPFF
- Post #4
- Forum: Linear and Abstract Algebra
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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.- SPFF
- Post #2
- Forum: Engineering and Comp Sci Homework Help
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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.- SPFF
- Thread
- Derivative Lyapunov
- Replies: 1
- Forum: Engineering and Comp Sci Homework Help