<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>State Space on Chen Kai Blog</title><link>https://www.chenk.top/en/tags/state-space/</link><description>Recent content in State Space on Chen Kai Blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 12 Mar 2024 09:00:00 +0000</lastBuildDate><atom:link href="https://www.chenk.top/en/tags/state-space/index.xml" rel="self" type="application/rss+xml"/><item><title>Ordinary Differential Equations (16): Fundamentals of Control Theory</title><link>https://www.chenk.top/en/ode/16-control-theory/</link><pubDate>Tue, 12 Mar 2024 09:00:00 +0000</pubDate><guid>https://www.chenk.top/en/ode/16-control-theory/</guid><description>&lt;p>&lt;strong>When you steer a car you constantly correct based on lane position. A thermostat compares room temperature with the setpoint and adjusts a heater. A rocket gimbal nudges its thrust vector to keep the booster vertical.&lt;/strong> Strip away the hardware and the same idea remains: &lt;em>measure, compare, act&lt;/em>. Control theory is the mathematics of that loop — and its native language is the ordinary differential equation.&lt;/p>
&lt;p>This chapter shows how the entire ODE toolkit — Laplace transforms (Ch 4), linear systems (Ch 6), eigenvalue stability (Ch 7), nonlinear stability (Ch 8) — collapses into a single unified discipline whose job is no longer to &lt;em>describe&lt;/em> dynamics, but to &lt;em>design&lt;/em> them.&lt;/p></description></item></channel></rss>