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See how recursive averaging and moving-average and low-pass filters smooth noisy data, with MATLAB demonstrations leading into the basics of the Kalman Filter.
Explore how saddle-node, transcritical, pitchfork, period-doubling, and Hopf bifurcations change dynamical-system phase portraits as parameters vary.
Explore how Lagrangian coherent structures reveal particle-transport patterns in fluid flows, from vortices and hurricanes to reduced-order models.
Analyzes gravity-gradient attitude stability using Euler’s rigid-body equations, deriving pitch, roll, and yaw conditions, oscillation frequencies, torque equilibrium, and ISS implications.
Analyze free rigid-body instabilities and derive how a flywheel stabilizes spacecraft rotation about any principal axis.
Derives Euler’s equations in a body-fixed frame and uses tops, wheels, spinners, and simulations to build intuition for free rigid-body motion.
Calculate center of mass and moment-of-inertia matrices for planar and three-dimensional rigid bodies using integrals and composite-body approximations.
Derive a rigid body's inertia matrix and use MATLAB eigenanalysis to construct its principal-axis frame.
Simulate rigid-body orientation from time-varying angular velocity by integrating Euler-angle kinematic equations in MATLAB and visualizing the motion.
Explore axis-angle rotation and Euler parameters for rigid-body orientation, with MATLAB demonstrations converting between rotation matrices, quaternions, and angular representations.
Derives Hamilton–Jacobi theory for constructing canonical transformations, with applications to the harmonic oscillator and Kepler problem.
Worked example of a two-particle spring system using center-of-mass dynamics, conservation laws, polar coordinates, and MATLAB.
Explore how generating functions construct canonical transformations in Hamiltonian mechanics, with harmonic oscillator and Hamiltonian-flow examples.
Explains kinetic energy and conservation intuitively, then applies linear and angular momentum rate equations to fixed- and moving-pivot pendulums.
Explore how the principle of stationary action yields Newton’s and Euler–Lagrange equations, with applications to the brachistochrone and cubic spline curves.
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