These Are Systems | Jacob Bayless | Substack

Exploring the relationship between Kalman filtering and optimal frequency domain filtering.

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How the Kalman filter uses its knowledge of a system's dynamics to predict its next move, and why that derives from Bayesian probability rules

Jul 23

Why systems containing positive feedback loops will always be more prone to bouncing, wobbling, oscillating, jumping, vibrating, overshooting, and…

Jul 18

In which we explore how the Kalman filter approximates Bayesian probability in its update process, and then push it beyond its limits as we tackle the…

Jun 21

Jun 9

From time to time, I’ll post and comment on excerpts from the works of E. T. Jaynes that are particularly interesting or insightful. Here’s one that…

Jun 7

May 19

"I need to know about what now?!" Right-half-plane zeros. Or at least, I want you to know about them, because there's a really critical one that's about…

May 8

These Are Systems

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