vault backup: 2024-10-02 13:55:40

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Dane Sabo 2024-10-02 13:55:40 -04:00
parent d31715a372
commit 363421f6d5
7 changed files with 13 additions and 2 deletions

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@ -123,3 +123,7 @@ Then the solution is
$$\vec{x}(t) = e^{\bf{A}t}\vec{c} + e^{\bf{A}t} \int_{t_0}^t e^{-\bf{A}I} F(T) \delta T$$
Then using the Laplace transform:
$$e^{\bf{A}t} = \mathcal{L}^{-1} \{ (sI-\bf{A})^-1 \} $$
# Written Notes
![[How do we deal with nonlinearities?.png]]
![[Mode Diagram.png]]

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@ -12,6 +12,8 @@ Recall that equilibrium points are fixed. P = Q = 0
| Unstable | Trajectories diverge from a point |
| Linear Center | An equilibrium point that has orbits around it |
| Limit Cycle | Happens a lot with nonlinear systems. Trajectories are pulled some target trajectory and stay there. |
| | |
# Written Notes
![[LINE Systems in the Plane.png]]
**Documentation**
- [x] ME2016 Week 3 Class ⏳ 2024-09-16 ✅ 2024-09-16

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@ -102,4 +102,9 @@ $$ {\bf J} =
\left[ \matrix{ \frac{\partial P}{\partial x} & \frac{\partial P}{\partial y} \\ \frac{\partial Q}{\partial x} & \frac{\partial Q}{\partial y}} \right] =
\left[ \matrix{ \beta -2\delta x - \gamma y & -\gamma x\\ - c y & b - 2dy - cx} \right]
$$
Now we can actually do stuff with this in python instead of by hand.
Now we can actually do stuff with this in python instead of by hand.
# Written Notes
![[Nonlinear Planar Systems.png]]

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