Explores Lyapunov's two methods for stability analysis in dynamical systems, focusing on linearization vs. potential functions.
A control theory blog post reframing stability analysis as the study of homeostasis and life, not death, using biological regulation as motivation.
A professor reflects on the intersection of machine learning and control theory, discussing the Learning for Dynamics and Control (L4DC) conference and the need for a merged perspective.
A technical walkthrough of simulating a chaotic triple pendulum system in Python using Sympy and Kane's Method.
